Browse Skills — Page 71
32,502 public skills · showing 7,001–7,100
- 100/100
community-building
manojbajaj95/claude-gtm-plugin
|
- 100/100
community-discovery
mkurman/zorai
When the user wants to find Slack groups, Discord servers, Reddit communities, forums, or online communities where their target audience hangs out. Also use when the user mentions "where to promote", "find communities", "community marketing", or "distribution channels".
- 100/100
community-forum
kostja94/marketing-skills
When the user wants to promote via forums, communities, or invite users to join a community. Also use when the user mentions "forum promotion," "Indie Hacker," "Hacker News," "community growth," "Discord promotion," "vertical community," "brand encyclopedia," "Wikipedia," "Quora," "Reddit community," "community building," "forum marketing," or "community invite." For Reddit copy, use reddit-posts. For strategy, use integrated-marketing.
- 100/100
community-launch-runner
aaron-he-zhu/aaron-marketing-skills
Use when the user asks to "launch on Product Hunt / Hacker News", "prepare community or directory launch submissions", or "plan the launch submission waves"; produces per-platform submission packages — a Product Hunt tagline / gallery / first-comment skeleton, a factual Show HN title and text, per-subreddit posts with a self-promotion rules table, tiered directory waves, and a regional channel matrix including Chinese communities — plus a platform red-line check (never solicit votes or organize voting rings) and T-0 submission-status lines for the launch registry. Not for paid amplification — use content-amplifier; not for creator channels — use campaign-planner; not for launch telemetry readouts — use launch-monitor; not for ongoing community presence or pre-launch karma-building outside the launch window — use participation-warmup-planner. 社区发布/PH提交包/Show HN/目录波次/平台红线/中文渠道
- 100/100
community-management-playbook
mohitagw15856/pm-claude-skills
Build a community management playbook for a brand's social media channels. Use when asked to create guidelines for managing comments, DMs, and community interactions, define a moderation policy, or build response frameworks for social media community managers. Produces a complete playbook with response templates, escalation paths, moderation rules, and tone guidelines.
- 100/100
community-marketing
mkurman/zorai
Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit, build brand advocates, increase word-of-mouth, drive community-led growth, engage users post-signup, or turn customers into evangelists. Trigger phrases: \"build a community,\" \"community strategy,\" \"Discord community,\" \"Slack community,\" \"community-led growth,\" \"brand advocates,\" \"user community,\" \"forum strategy,\" \"community engagement,\" \"grow our community,\" \"ambassador program,\" \"community flywheel.\"
- 100/100
community-marketing
coreyhaines31/marketingskills
Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit, build brand advocates, increase word-of-mouth, drive community-led growth, engage users post-signup, or turn customers into evangelists. Trigger phrases: \"build a community,\" \"community strategy,\" \"Discord community,\" \"Slack community,\" \"community-led growth,\" \"brand advocates,\" \"user community,\" \"forum strategy,\" \"community engagement,\" \"grow our community,\" \"ambassador program,\" \"community flywheel.\"
- 100/100
community-signals
gooseworks-ai/goose-skills
Extract leads from developer forums (Hacker News, Reddit) by detecting intent signals — alternative seeking, competitor pain, scaling challenges, DIY solutions, and migration intent. Scores users by intent strength and cross-platform presence.
- 100/100
comorbidity-common-immune-biomarker
aipoch/medical-research-skills
Generates complete comorbidity-oriented shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction. Use when a study links two clinically related diseases through shared DEGs, enrichment, PPI hub genes, machine-learning feature selection, public diagnostic validation, gene-regulatory networks, immune infiltration, and optional downstream follow-up. Covers five study patterns (shared-DEG discovery, hub-gene prioritization, machine-learning biomarker selection, immune/regulatory interpretation, multi-layer validation) and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.
- 100/100
comp-analysis
anthropics/knowledge-work-plugins
Analyze compensation — benchmarking, band placement, and equity modeling. Trigger with "what should we pay a [role]", "is this offer competitive", "model this equity grant", or when uploading comp data to find outliers and retention risks.
- 100/100
comp-simulation
t0ddc3by/claude-for-customer-success
Models comp plan payout scenarios before plan is finalized. Stress-tests OTE, accelerators, and threshold structures against attainment distributions (50/65/75/85/100%). Surfaces cost-to-company and unintended payout behaviors. G3 applies — all outputs require HR + Finance dual review before rep distribution. Triggers: 'comp simulation', 'model comp payouts', 'comp plan cost', 'stress test comp plan', 'what does the plan cost at 80/100/120%'.
- 100/100
compact
catlog22/Claude-Code-Workflow
Compact current session memory into structured text for session recovery. Supports custom descriptions and tagging.
- 100/100
compact-guard
rohitg00/pro-workflow
Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.
- 100/100
compact-memory-implementation
simbajigege/book2skills
Developer implementation guide for adding compact memory to an Agent — covers fork agent pattern for compaction, trigger strategy, summary format design, and memory restoration in subsequent sessions. Use when a developer asks how to implement compact memory, context compression, or memory persistence in their agent built with Claude Agent SDK or Anthropic API.
- 100/100
company-activity-summary
ComposioHQ/composio-plugin-cc
Generates comprehensive company activity summary across connected apps — Slack, GitHub, Notion, Linear, Gmail, and more. Uses the composio CLI to fetch data. Use when user asks for company updates, daily summary, or what's happening across the org.
- 100/100
company-announcement-writer
OneWave-AI/claude-skills
Executive communication style for all-hands emails. Balances transparency with appropriate messaging.
- 100/100
company-brain
coreyhaines31/makerskills
Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so an agent can answer on your team's behalf. Team-scope sibling to second-brain — personal notes go there, not here. Modes — capture, compile (wiki pages + INDEX.md), query (trust-weighted, saved to outputs/), review (verify / deprecate / supersede stale captures), lint, connect, search. Structured raw dirs (people/, companies/, meetings/, sops/, decisions/, customer-language/, sales-objections/). Every capture stamps author, timestamp, and trust status. Optional sync from call transcripts, Slack/email exports, CRM. Vault at ${COMPANY_BRAIN_VAULT:-$HOME/Documents/CompanyBrain}/. Triggers on "/company-brain," "/cb," "capture this into the team brain," "log this meeting," "save this SOP," "compile the company wiki," "query the team brain," "what does the team know about X," "review the company brain," "lint the company brain," "who's the internal expert on X."
- 100/100
company-cfo
coreyhaines31/makerskills
Monthly CFO workflow for a company or agency — pull raw data from bank + payment processor + payroll + expense management, categorize and reconcile, compute end-of-month cash via transaction-sum method, update a scenario projector for forward forecasting, write the monthly snapshot report, surface decisions to leadership. Modes — monthly (default; the standing report), weekly (thin cash pulse), scenario (ad-hoc modeling in the projector), pickup (resume where the prior run left off). Anonymized team-scope sibling to personal-cfo (which handles personal household finances). Composes with company-brain (report gets stored + wiki-indexed there), toolify (wire company-specific data sources), loopify (schedule the monthly + weekly runs). Triggers on "/company-cfo," "/cfo," "monthly cash report," "do the CFO snapshot," "CFO monthly," "let's run CFO," "cash projection," "runway forecast," "monthly financials," "cash pulse."
- 100/100
company-contact-finder
gooseworks-ai/goose-skills
>
- 100/100
company-creator
paperclipai/paperclip
>
- 100/100
company-creator
microsoft/amplifier-app-paperclip
>
- 100/100
company-current-gtm-analysis
gooseworks-ai/goose-skills
>
- 100/100
company-os
alirezarezvani/claude-skills
Use when choosing or setting up how the company runs: EOS, Scaling Up or OKRs, accountability chart, scorecard, meeting rhythm, quarterly rocks.
- 100/100
company-policy-lookup
Significant-Gravitas/skills-catalog
Find and explain company policies in plain language. Trigger with "what's our PTO policy", "can I work remotely from another country", "how do expenses work", or any plain-language question about benefits, travel, leave, or handbook rules.
- 100/100
company-radar
Varnan-Tech/opendirectory
Competitive intelligence orchestrator tracking companies across 8+ platforms (GitHub, Twitter, Reddit, HN, PH, YC Jobs) with heat scores and AI briefings.
- 100/100
company-recording-clip
zapier/gtm-cheat-codes
Turn a company meeting or event recording into a short, approved, postable clip.
- 100/100
company-research
deanpeters/Product-Manager-Skills
Create a company research brief with executive quotes, product strategy, and org context. Use when preparing for interviews, competitive analysis, partnerships, or market-entry work.
- 100/100
company-tearsheet
openai/plugins
Use when creating source-backed public issuer tearsheets. Do not use for private diligence, fund diligence, vendors, or market maps.
- 100/100
company-values
TerminalSkills/skills
>-
- 100/100
company-wiki
aAAaqwq/AGI-Super-Team
Company knowledge base — domains, services, infrastructure, accounts, credentials locations, architecture decisions
- 100/100
comparable-apps
EpicenterHQ/epicenter
List 3-5 comparable apps when planning a UX surface to find asymmetric wins. Use for "what do other apps do", identity, sync state, local-first design.
- 100/100
comparative_drug_analysis
InternScience/scp
Comparative Drug Analysis - Compare drugs: structure analysis, PubChem data, FDA safety, and ChEMBL bioactivity. Use this skill for comparative pharmacology tasks involving ChemicalStructureAnalyzer get compound by name get adverse reactions by drug name search activity. Combines 4 tools from 4 SCP server(s).
- 100/100
comparative-feasibility-ranking
yogsoth-ai/de-anthropocentric-research-engine
Compare feasibility across multiple candidates using multi-dimensional radar and weighted feasibility index.
- 100/100
comparative-formulation
yogsoth-ai/de-anthropocentric-research-engine
Strategy: 构建对比性研究问题 — A vs B 的系统化比较
- 100/100
comparative-genomics-ancestral-reconstruction
swaruplab/operon
Reconstruct ancestral states at internal phylogenetic nodes for sequences (PAML codeml, IQ-TREE --ancestral, GRASP, FastML), discrete traits (corHMM hidden-rate Markov, ape::ace, phytools::make.simmap stochastic mapping, BayesTraits), and continuous traits (phytools::fastAnc, geiger Brownian/OU, RPANDA). Use when designing constructs for ancestral protein resurrection, tracing trait evolution along a tree, performing stochastic character mapping, testing models of trait evolution (BM vs OU vs EB), inferring ancestral genome content via Dollo or DTL reconciliation, or quantifying ancestral-state uncertainty for downstream comparative analyses.
- 95/100
comparative-genomics-comparative-annotation-projection
swaruplab/operon
Project gene annotations across genomes using TOGA (Kirilenko 2023 whole-genome-alignment chain-based projection with intactness classification), CESAR 2.0 (Sharma & Hiller 2017 codon-aware exon projection), LiftOff (Shumate & Salzberg 2020 reference-based annotation transfer), Liftover (UCSC), GeMoMa (Keilwagen 2019 evidence-based projection), and Comparative Annotation Toolkit (CAT). Use when transferring annotations from a well-annotated reference to query genome(s), classifying gene-loss vs gene-intact across many genomes at scale, building Zoonomia-style comparative annotations across hundreds of mammals or birds (Kirilenko 2023), detecting pseudogenization, projecting alternative isoforms, or selecting between WGA-anchored (TOGA) vs ortholog-based (LiftOff) annotation transfer strategies.
- 95/100
comparative-genomics-gene-family-evolution
swaruplab/operon
Model gene-family birth-death dynamics across a species tree using CAFE5 (Mendes et al 2020 Bioinformatics 36:5516 gamma-distributed rate categories), CAFE5-error (annotation-error-aware), Count (Csurös 2010 ancestral state reconstruction), BadiRate (Librado 2012 likelihood + parsimony), DupliPHY-Family, and ALE/AleRax (for per-family DTL; see [[gene-tree-species-tree-reconciliation]]). Test lineage-specific gene-family expansions and contractions, distinguish biological dynamics from annotation artifacts, account for assembly fragmentation, identify functional enrichment in expanded / contracted families. Use when correlating gene-family changes with phenotype evolution, ranking lineages by adaptive gene-family-rate shifts, post-WGD dosage-balance analysis, or building Birth-death models from OrthoFinder presence/absence matrices.
- 90/100
comparative-genomics-gene-tree-species-tree-reconciliation
swaruplab/operon
Reconcile gene trees against a species tree under probabilistic models of duplication, transfer, and loss (DTL) using ALE (Szöllősi 2013 amalgamated likelihood), GeneRax (Morel 2020 ML reconciliation), AleRax (Morel 2024 co-estimation), Whale.jl (Bayesian DTL+WGD), RANGER-DTL 2 parsimony, NOTUNG, ecceTERA, and Treerecs. Use when inferring ancestral gene-family content, distinguishing duplication from horizontal transfer from differential loss, rooting deep species trees from gene-content signals (STRIDE / Williams 2017 ALE-rooting), counting DTL events per branch, refining noisy gene trees against a species tree, modeling WGD events jointly with DTL, or producing publication-grade gene-family histories for phylogenomic / comparative analyses.
- 95/100
comparative-genomics-genome-distance-and-species-delineation
swaruplab/operon
Compute genome-to-genome distances (ANI, AAI, dDDH, k-mer Mash) and assign taxonomic classifications using skani (Shaw 2023), FastANI (Jain 2018), pyani / pyANI ANIb / ANIm, OrthoANI (Lee 2016), AAI (amino-acid identity), dDDH via TYGS / GGDC, GTDB-Tk (Chaumeil 2020 standard prokaryote taxonomy), and Mash MinHash (Ondov 2016). Use when delineating prokaryote species (95% ANI threshold; Jain 2018 Nat Commun 9:5114), assigning genomes to GTDB taxonomy with ANI radius, computing genome similarity matrices for clustering, classifying archaea, evaluating MAG (metagenome-assembled genome) species assignment, applying skani for fast metagenomic ANI screening, or reconciling 16S rRNA-based taxonomy with whole-genome ANI.
- 100/100
comparative-genomics-hgt-detection
swaruplab/operon
Detect horizontal gene transfer (HGT / LGT) using compositional methods (GC%, codon usage, tetranucleotide z-scores via SIGI-HMM, AlienHunter, IslandViewer 4, IslandPath-DIMOB), phylogenetic-incongruence methods (AvP, HGTphyloDetect, ALE / GeneRax / AleRax reconciliation, RANGER-DTL), and BLAST-distribution methods (HGTector v2, DarkHorse, Alien Index). Use when screening prokaryote genomes for genomic islands and HGT events, distinguishing HGT from incomplete lineage sorting / differential gene loss / hybridization, mapping donor lineages via phylogenetic placement, separating eukaryotic HGT from contamination, ruling out gBGC as a false signal, or quantifying DTL rates with ALE/GeneRax on bacterial trees.
- 100/100
comparative-genomics-introgression-detection
swaruplab/operon
Detect introgression and admixture between species or populations using Dsuite (Malinsky 2021 fast D-statistics), Patterson's D / ABBA-BABA test (Green 2010; Durand 2011), f4-ratio and f-branch statistic (Malinsky 2018), TreeMix (Pickrell & Pritchard 2012), HyDe (Blischak 2018), QuIBL (Edelman 2019), sprime (Browning 2018), Twisst (Martin 2017), PhyloNet (Solis-Lemus 2017) for explicit phylogenetic networks, and qpAdm / qpGraph (Patterson 2012; Lipson 2013). Distinguish introgression from incomplete lineage sorting (ILS), ancestral structure, ghost-lineage admixture, and rate variation. Use when testing inter-species gene flow, dating admixture events, identifying introgressed segments, building phylogenetic networks for reticulate evolution, or applying the ABBAclustering (Koppetsch-Malinsky-Matschiner 2024) framework for divergent-species gene flow.
- 95/100
comparative-genomics-ortholog-inference
swaruplab/operon
Infer orthologous genes and gene families across species using OrthoFinder3 (HOG-based phylogenetic orthology), SonicParanoid2, Broccoli, ProteinOrtho, OMA / FastOMA hierarchical orthologous groups, eggNOG-mapper, JustOrthologs, and TOGA whole-genome-alignment orthology. Use when building single-copy ortholog sets for phylogenomics, classifying co-orthologs and in/out-paralogs after gene duplication, propagating functional annotation via orthology with awareness of the ortholog conjecture, distinguishing speciation from duplication via gene-tree species-tree reconciliation, computing Quest-for-Orthologs benchmark performance, or running synteny-aware ortholog detection in WGD-affected lineages.
- 100/100
comparative-genomics-pangenome-analysis
swaruplab/operon
Build and analyze pangenomes for prokaryotes (Panaroo, PPanGGOLiN, PEPPAN, GET_HOMOLOGUES, anvi'o pangenomics) and eukaryotes (Minigraph-Cactus, PGGB, vg pangenome graphs). Implement Tettelin core/accessory/cloud genome decomposition (Tettelin 2005), Heap's law open/closed pangenome modeling, gene presence/absence GWAS (Scoary, pyseer), pangenome graph variant calling (vg, PanGenie), and structural-variation graph indexing. Use when assembling species- or genus-level pan-gene catalogs, separating core from accessory/shell/cloud genes, testing gene-content associations with phenotypes, building pangenome graphs from haplotype-resolved assemblies, calling SVs from pangenome graphs, or selecting between bacterial-pangenome and eukaryotic-pangenome workflows.
- 90/100
comparative-genomics-positive-selection
swaruplab/operon
Detect positive (diversifying / episodic / pervasive) selection using codon dN/dS frameworks. Implements PAML codeml site models (M0/M1a/M2a/M7/M8/M8a), branch models, branch-site model A (Zhang 2005), and HyPhy methods (BUSTED, BUSTED-S, BUSTED-MH, BUSTED-PH, MEME, FEL, FUBAR, aBSREL, SLAC, RELAX, GARD, FUBAR-MH). Includes McDonald-Kreitman framework (asymptotic alpha, impMKT, polyDFE, DFE-alpha, GRAPES) for within-species + divergence inference, RERconverge for trait-correlated rate shifts, CSUBST for convergent substitution, and PhyloAcc for accelerated noncoding evolution. Use when testing adaptive evolution at codons, branches, or full gene; running GARD recombination pre-screen; controlling alignment-error and gBGC false positives; reconciling PAML vs HyPhy results; or performing genome-scale selection scans.
- 100/100
comparative-genomics-synteny-analysis
swaruplab/operon
Detect syntenic blocks and structural rearrangements between genomes using MCScanX (Wang 2012), JCVI/MCScan (Tang 2008 Python), GENESPACE (Lovell 2022) for orthology-anchored riparian visualization, SyRI for structural variation, AnchorWave for sequence-level synteny, i-ADHoRe 3.0 for highly diverged species, SynNet for synteny networks, and ntSynt for multi-genome macrosynteny. Use when identifying collinear gene blocks across species, distinguishing macrosynteny from microsynteny, detecting inversions/translocations/duplications, anchoring orthology in WGD lineages, producing publication riparian plots, computing synteny block age via Ks (cross-references whole-genome-duplication), or running synteny-aware ortholog inference in polyploids.
- 100/100
comparative-genomics-whole-genome-alignment
swaruplab/operon
Build whole-genome alignments using Progressive Cactus (Armstrong 2020 reference-free clade-level WGA), Minigraph-Cactus (Hickey 2024 pangenome-aware), LASTZ chain/net (UCSC pipeline), MUMmer4 (Marçais 2018 pairwise), minimap2 -x asm5/10/20 (Li 2018 fast pairwise), AnchorWave (Song 2022 WGD-aware), and Mauve / progressiveMauve (bacterial). Operates the HAL toolkit (Hickey 2013) for downstream extraction including halSynteny, halLiftover, halBranchMutations, and hal2maf. Use when constructing multi-species alignments for comparative-annotation projection (TOGA), synteny detection, conservation analyses (phyloP / PhastCons), or pangenome graph construction; selecting between reference-free (Cactus) and reference-anchored (LASTZ chains/nets) approaches; tuning sensitivity for closely vs distantly related genomes; or producing HAL files for genome-wide downstream tools.
- 100/100
comparative-genomics-whole-genome-duplication
swaruplab/operon
Detect, date, and contextualize whole-genome duplication (WGD / paleopolyploidy) events using wgd v2 (Chen & Zwaenepoel 2024), KsRates (Sensalari 2022 substitution-rate-corrected Ks dating), DupGen_finder (Qiao 2019), MAPS (Li 2018 phylogenomic), POInT (Conant 2008 ordered-block), SLEDGe (2024 ML-based), Whale.jl (Bayesian DTL+WGD), and synteny-anchored paranome construction. Use when identifying ancient polyploidy from Ks distributions and synteny block analysis, positioning WGD events relative to speciation, distinguishing tandem from segmental from WGD duplications, dating the 2R/3R vertebrate / fish / salmonid WGDs, building paranome and Ks-age mixture models, applying KsRates substitution-rate correction across lineages, or testing alternative biased-fractionation / dosage-balance models post-WGD.
- 100/100
comparative-network-toxicology-shared-mechanism-reference-grounded
aipoch/medical-research-skills
Generates complete comparative network-toxicology research designs from a user-provided exposure pair, shared toxic phenotype, and validation direction. Use when a study centers on two related exposures under one outcome and needs target collection, shared-vs-specific target decomposition, enrichment, PPI hub prioritization, docking, optional transcriptomic cross-checks, and conservative mechanistic synthesis. Covers five study patterns and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.
- 100/100
comparative-religion
Tibsfox/gsd-skill-creator
Comparative religion as a scholarly discipline — cross-tradition analysis of doctrines, practices, and experiences without collapsing traditions into each other or ranking them against a normative standard. Covers the history of the discipline (from Max Muller through Eliade, Smart, Smith, and the contemporary critique), typologies (theism, monism, polytheism, non-theism), the dimensions framework (doctrinal, ritual, ethical, experiential, mythic, institutional, material), and the ethics of comparison. Use when a query asks how a concept, practice, or text functions across multiple traditions.
- 100/100
comparison-design
yogsoth-ai/de-anthropocentric-research-engine
Design fair comparison experiments against baselines and competing methods
- 100/100
comparison-executor
yogsoth-ai/de-anthropocentric-research-engine
Execute a pairwise comparison between two candidates, producing a judgment with winner, confidence, and reasoning.
- 100/100
comparison-table-gen
aipoch/medical-research-skills
Auto-generates comparison tables for concepts, drugs, or study results.
- 100/100
comparison-table-generator
kostja94/marketing-skills
When the user wants to create, optimize, or audit a comparison table section—an in-page block (HTML table or responsive equivalent) comparing products, methods, or approaches, with optional supporting copy. Also use when the user mentions "comparison table," "compare table," "feature matrix," "vs table," "side-by-side comparison," "competitor comparison," "traditional vs modern," "manual vs automated," "before and after," "old way vs new way," "alternatives comparison block," or "comparison section on landing page or blog." This skill is for a section inside a page, not a full alternatives URL or blog post wireframe—use alternatives-page-generator for page-level layout, keywords, and PPC destination strategy. For full-page structured data rules, use schema-markup. For FAQ blocks paired with the table, use faq-page-generator.
- 100/100
comparison-tool-design
rampstackco/claude-skills
Designing side-by-side comparison tools (plan-compare, product-compare, alternative-compare) that help users decide rather than just listing features. Axis selection, default-comparison logic, recommendation discipline. Honest about feature-list-dump (every feature in a row, no decision support), hidden-recommendation (biased comparison pretending to be neutral), and honest-comparison-with-guidance (genuine comparison plus opinionated recommendation) patterns. Triggers on comparison tool, plan compare, product compare, alternative compare, vs page, decision support tool. Also triggers when conversion through comparison stages is poor, when users are abandoning at the comparison step, or when a comparison tool is being scoped for the first time.
- 100/100
compass
simota/agent-skills
Navigating the skill ecosystem and guiding onboarding. Lists agents, recommends best fit for tasks. Don't use for task execution (Nexus), agent design (Architect).
- 100/100
compensation-strategy
mkurman/zorai
>
- 100/100
compete
simota/agent-skills
Researching competitors, analyzing differentiation, and shaping strategic positioning. Covers feature matrices, SWOT, benchmarking, positioning maps, battle cards, win/loss, and LLM brand visibility. Research only — no code. Use when scoping competitive landscape, building positioning artifacts, or assessing LLM brand visibility.
- 100/100
competing-hypothesis-construction
yogsoth-ai/de-anthropocentric-research-engine
Strategy: 为同一现象构建多个竞争假设
- 100/100
competing-hypothesis-generation
yogsoth-ai/de-anthropocentric-research-engine
SOP: 为同一现象生成机制上不同的竞争假设
- 100/100
competing-hypothesis-matrix
yogsoth-ai/de-anthropocentric-research-engine
Tactic: 多假设管理——生成竞争假设,设计区分性预测,构建结构化比较矩阵
- 100/100
competitive-ads-extractor
ComposioHQ/awesome-claude-skills
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
- 100/100
competitive-analysis
mohitagw15856/pm-claude-skills
Analyze competitors and create competitive landscape documentation with feature matrices, positioning maps, and strategic recommendations. Use when asked to analyze competitors, create competitive analysis, compare features with competitors, build a competitive landscape, track competitive positioning, or prepare sales battlecard inputs. Produces structured competitor profiles, feature comparison matrix, win/loss analysis, and prioritised strategic recommendations.
- 100/100
competitive-analysis
anthropics/financial-services
Framework for building competitive landscape decks — market positioning, competitor deep-dives, comparative analysis, strategic synthesis. Use when the user asks for a competitive landscape, competitor analysis, peer comparison, market positioning assessment, strategic review, or investment memo deck. Also triggers on "who are the competitors to X", "benchmark X against peers", "build a market map", or any request to systematically evaluate competitive dynamics across an industry.
- 100/100
competitive-battlecard
phuryn/pm-skills
Create sales-ready competitive battlecards comparing your product against a specific competitor — positioning, feature comparison, objection handling, and win/loss patterns. Use when preparing sales teams, creating competitive materials, or responding to 'why not competitor X?'
- 100/100
competitive-brief
anthropics/knowledge-work-plugins
Research competitors and generate a positioning and messaging comparison with content gaps, opportunities, and threats. Use when building sales battlecards, when finding positioning gaps and messaging angles competitors haven't claimed, or when a competitor makes a move and you need to assess the impact.
- 100/100
competitive-intel
alirezarezvani/claude-skills
Use for competitor analysis, battlecards, win/loss review or positioning against alternatives. Builds a tracking system that feeds positioning, sales and roadmap.
- 100/100
competitive-intelligence
yogsoth-ai/de-anthropocentric-research-engine
Analyze competitor IP portfolios — comparative patent portfolio reports with strategy inference. Budget: 120 patent families, 15 claim parses, 40 web searches.
- 100/100
competitive-intelligence
anthropics/knowledge-work-plugins
Competitive analysis two ways - the in-deal play against a named competitor, and win/loss patterns, competitor mentions, and battlecards across the book. Use when the user asks "competitive intel", "research competitors", "how do we compare to [competitor]", "what's new with [competitor]", "battlecard for [competitor]", "how do we beat [competitor]", "what's the play against [competitor] in [deal]", "where are we losing to [competitor]", "win/loss patterns", "competitive analysis", "refresh the battlecards", or on a weekly schedule.
- 100/100
competitive-intelligence-monitor
mohitagw15856/pm-claude-skills
Monitor competitor signals and surface strategic implications for your roadmap. Use when asked to monitor competitors, track the competitive landscape, produce a competitive briefing, or understand what has changed in the market this week or month. Produces a structured intelligence brief with high/medium/low priority signals, roadmap implications, and a strategic landscape summary.
- 100/100
competitive-landscape
benjaminasterA/antigravity-awesome-skills
This skill should be used when the user asks to \\\"analyze
- 100/100
competitive-landscape
wshobson/agents
Analyze competition, identify differentiation opportunities, and develop winning market positioning strategies using Porter's Five Forces, Blue Ocean Strategy, and positioning maps. Use this skill when evaluating competitors, assessing market positioning, identifying sustainable competitive advantages, or preparing competitive strategy analysis for a startup or investor pitch.
- 100/100
competitive-landscape-v2
diegosouzapw/awesome-omni-skills
Competitive Landscape Analysis workflow skill. Use this skill when the user needs Comprehensive frameworks for analyzing competition, identifying differentiation opportunities, and developing winning market positioning strategies and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
competitive-landscape-v3
diegosouzapw/awesome-omni-skills
Competitive Landscape Analysis workflow skill. Use this skill when the user needs Comprehensive frameworks for analyzing competition, identifying differentiation opportunities, and developing winning market positioning strategies and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
competitive-moats
guia-matthieu/clawfu-skills
"Build durable competitive advantage using Hamilton Helmer's \"7 Powers\" framework—the complete, mutually exclusive enumeration of all possible sources of sustainable business moats. Use when: **Evaluate your competitive position** and identify if you have true Power; **Choose strategic direction** for building durable advantage; **Analyze competitors** to understand their moats and vulnerabilities; **Advise on M&A** whether an acquisition target has defensible value; **Assess startup investmen..."
- 100/100
competitive-move-prediction
yogsoth-ai/de-anthropocentric-research-engine
Predict competitor progress, publications, and strategic moves
- 100/100
competitive-pricing
langchain-ai/langsmith-agent-lifecycle-workshop
Produce a competitive pricing report comparing TechHub's catalog prices against current market prices, with flagged products and recommendations. Use when asked to benchmark prices, review pricing, or recommend price changes.
- 100/100
competitive-pricing-intel
gooseworks-ai/goose-skills
>
- 100/100
competitive-pricing-strategy
nexscope-ai/eCommerce-Skills
Build an evidence-based competitive pricing strategy for ecommerce products. Use when a seller asks how to position a price against competitors, set regular and promotional prices, protect contribution margin, design bundles or price tiers, respond to competitor moves, or coordinate prices across Amazon, Shopify, TikTok Shop, Walmart, eBay, or other channels. Do not use for automated repricing implementation or claims of a mathematically proven optimal price without sufficient data.
- 100/100
competitive-scenario
yogsoth-ai/de-anthropocentric-research-engine
What will competitors do? — Competitive method progress prediction and time window analysis
- 100/100
competitive-teardown
alirezarezvani/claude-skills
Deep competitor teardown: pricing, reviews, hiring, SEO, UX, scored across 12 dimensions with SWOT and positioning maps. Use whenever the user asks how they compare to a rival or how to respond to a competitor's move.
- 100/100
competitor-ad-intelligence
github/awesome-copilot
Use this skill when the user asks to analyze, tear down, or reverse-engineer a competitor''s paid ads. Trigger for prompts like "what ads is [competitor] running", "tear down their ad strategy", "competitor ad analysis", "find ad angles we haven''t tried", or "reverse-engineer their paid funnel". Do not trigger for organic/SEO competitor research or website positioning analysis.
- 100/100
competitor-ad-intelligence
gooseworks-ai/goose-skills
>
- 100/100
competitor-ads-analyst
thatrebeccarae/claude-marketing
Extract and analyze competitor advertising from public ad libraries (Facebook Ad Library, Google Ads Transparency Center, TikTok, LinkedIn). Identifies messaging patterns, creative formats, pain points targeted, and positioning gaps. Use for competitive intelligence, campaign planning, and creative inspiration.
- 100/100
competitor-alerts
indranilbanerjee/digital-marketing-pro
Configure competitor alerts. Use when: tracking content changes, pricing shifts, ad launches, SERP changes, social spikes.
- 100/100
competitor-alternatives
alirezarezvani/claude-skills
Use when creating an 'X vs Y', '[product] alternative' or comparison page, before drafting. Builds the comparison matrix with comparison_matrix_builder.py and picks one of four page formats with a fair, sourced structure.
- 100/100
competitor-alternatives-v2
diegosouzapw/awesome-omni-skills
Competitor & Alternative Pages workflow skill. Use this skill when the user needs You are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
competitor-alternatives-v3
diegosouzapw/awesome-omni-skills
Competitor & Alternative Pages workflow skill. Use this skill when the user needs You are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
competitor-analysis
langchain-ai/deepagents
>-
- 100/100
competitor-content-analyzer
OneWave-AI/claude-skills
Track competitor blog posts, whitepapers, and content strategy. Identify content gaps in your strategy.
- 100/100
competitor-experience-audit
rampstackco/claude-skills
Audit the brand, UX, and site design of the leading sites in a vertical as a set of observable cross-site patterns, producing the experience bar a new build must meet or beat. Use this skill whenever the user wants to assess the competitive design field, capture vertical conventions, identify the design and UX bar of a category, or set the experience standard before a build. Triggers on competitor experience audit, UX audit, site design audit, brand audit, design conventions, what makes these sites good, vertical conventions, storefront patterns, merchandising patterns, layout density, primary task, design bar, category conventions, retail vs marketing register, what does the field do. Also triggers when an audit of the competitive field has captured technical signals (SEO, accessibility) but never named the brand, UX, or design conventions, and the build downstream will read as off-vertical without that bar.
- 100/100
competitor-intel
gooseworks-ai/goose-skills
>
- 80/100
competitor-intel-agent
OneWave-AI/claude-skills
Monitors competitor websites, pricing, content changes, hiring patterns, and product updates. Generates intelligence reports with strategic implications and trend analysis. Stores history for longitudinal tracking.
- 0/100
competitor-launch-radar
aaronjmars/aeon
Weekly scan of Product Hunt + Hacker News for NEW AI-agent-framework launches outside the 9-framework cohort already tracked by ai-framework-watch
- 100/100
competitor-matrix
vm0-ai/vm0-skills
Conduct competitive analysis with feature comparison matrices, positioning teardowns, win/loss evaluation, and market trend assessment. Activate when researching competitors, building a feature comparison table, evaluating competitive positioning, preparing a competitive brief, analyzing win/loss patterns, mapping the competitive landscape, or assessing market threats and opportunities.
- 100/100
competitor-monitor
indranilbanerjee/digital-marketing-pro
Set up ongoing competitor monitoring. Use when: defining tracked competitors, scan frequency, change detection alerts.
- 100/100
competitor-monitoring
extruct-ai/gtm-skills
>
- 100/100
competitor-monitoring-system
gooseworks-ai/goose-skills
>
- 100/100
competitor-pages
nowork-studio/NotFair
>
- 100/100
competitor-post-engagers
gooseworks-ai/goose-skills
>
- 85/100
competitor-pr-finder
Varnan-Tech/opendirectory
Give it your product URL or description. It finds your top 5 competitors, runs three-track PR research across all of them (editorial, podcasts, communities), identifies which channels appear most frequently, looks up the journalist or host for each, and returns a tiered outreach list with story angles and ready-to-send cold pitch drafts tailored to your product. Use when asked to find PR opportunities, discover where competitors got featured, build a media outreach list, find which journalists cover my space, or get pitch templates for press coverage.
Page 71 of 326