Browse Skills — Page 82
32,502 public skills · showing 8,101–8,200
- 95/100
crisp
TerminalSkills/skills
>-
- 100/100
crispen
beep-effect/beep-effect
>
- 100/100
crispr-guide-design
swaruplab/operon
Guide foundry
- 100/100
crispr-offtarget-predictor
swaruplab/operon
Predicts potential off-target sites for a given sgRNA sequence using mismatch analysis.
- 100/100
crispr-screen-analyzer
aipoch/medical-research-skills
Process CRISPR screening data to identify essential genes and hit candidates. Performs quality control, statistical analysis (RRA), and hit calling for pooled CRISPR screens including viability screens and drug resistance/sensitivity studies.
- 80/100
crispr-screens-bagel-essentiality
swaruplab/operon
Identifies essential genes from CRISPR-Cas9 fitness screens using BAGEL2 (Kim & Hart 2021 Genome Med), a Bayesian classifier scoring per-gene Bayes Factors via log-likelihood ratios over per-sgRNA fold changes, calibrated against CEGv2 core-essentials (Hart 2017 G3, ~684 genes) and NEGv1 non-essentials (Hart 2014, ~927 genes). Covers the fc + bf + pr workflow, the linear-extrapolation improvement over BAGEL1 truncation, multi-target off-target correction, tumor-suppressor sensitivity (BAGEL2 detects enrichment), and BF-to-FDR calibration (BF >6 ≈ FDR 0.05 from Hart 2017). Use when classifying essential vs non-essential genes, calibrating BAGEL2 thresholds against PR curves, identifying tumor suppressors alongside essentials, comparing BAGEL2 hits to MAGeCK / drugZ, or generating publication-quality essentiality calls.
- 100/100
crispr-screens-base-editing-analysis
swaruplab/operon
Analyzes base-editing screens for variant function. Covers library design (Sanson 2020 GRACE, Hanna 2021 BRCA1/2 SNV scanning, Cuella-Martin 2021), CBE vs ABE chemistry choice (BE3/BE4 vs ABE7.10/ABE8.20/ABE8e), editing-window math (positions 4-8 from PAM-distal end, wider for ABE8e), bystander-edit quantification and the variant-call ambiguity it creates, sgRNA-efficiency filtering before hit calling, indel byproduct interpretation, the substitution-vs-indel diagnostic, variant annotation against ClinVar / COSMIC, and the Broad be-validation-pipeline. Use when designing a BE variant screen, choosing CBE vs ABE for a specific edit, interpreting bystander-confounded hits, distinguishing functional signal from indel artifact, integrating CRISPResso2 output with screen scoring, or deciding BE vs PE for SNV installation.
- 100/100
crispr-screens-batch-correction
swaruplab/operon
Batch effect correction for CRISPR screens covering ComBat empirical-Bayes, RUV, SVA, control-sgRNA normalization, and the model-based alternative of including batch as a covariate in MAGeCK MLE or Chronos. Covers screen-specific batch sources (passage cohort, library lot, infection day, sequencing run, Cas9 lot, FBS lot), PCA + variance-decomposition diagnostic to decide if correction is needed, when correction harms biology by over-correcting condition into batch, limma removeBatchEffect for visualization-only correction, and relationship to multi-condition design matrices. Use when combining screens for joint analysis, when passage cohort confounds biology, when DepMap-style panels need Chronos with batch covariates, when picking ComBat vs RUV, or when correction harms biology and should be replaced with explicit covariate modeling.
- 100/100
crispr-screens-combinatorial-screens
swaruplab/operon
Designs and analyzes combinatorial CRISPR screens covering paired-Cas9 (Big Papi, Najm 2018), enhanced AsCas12a multiplex (enCas12a, DeWeirdt 2021), in4mer 4-guide-array Cas12a (Esmaeili Anvar N et al 2024 Nat Commun 15:3577) and the Inzolia paralog-pair library, paralog-buffering detection (Dede 2020 Genome Biol; Thompson 2021 Cell Reports 36:109597), genetic-interaction (GI) scoring as observed_double_LFC minus expected_additive_double_LFC, synthetic-lethal and synthetic-rescue interaction interpretation, the half-of-essentiality buffered by paralogs phenomenon, multiplex screen statistical analysis with MAGeCK MLE interaction terms, and the relationship to single-cell combinatorial Perturb-seq. Use when designing a paralog or pathway-pair screen, choosing between paired-Cas9 (Big Papi) and Cas12a multiplex (Inzolia), interpreting genetic interaction scores, identifying synthetic-lethal targets for drug development, or scaling beyond single-gene CRISPR screens.
- 100/100
crispr-screens-copy-number-correction
swaruplab/operon
Corrects the gene-independent copy-number artifact in CRISPR-Cas9 screens (Aguirre 2016 / Munoz 2016 Cancer Discov) where amplified loci appear essential from DNA-damage burden of simultaneous cuts. Covers the p53-dependent G2-arrest mechanism, CRISPRcleanR (Iorio 2018) unsupervised pre-hoc correction, CERES (Meyers 2017) joint CN + gene-effect model, Chronos (Dempster 2021) DepMap-standard population-dynamics + CN model with lowest residual bias, the decision tree by data availability, the Spearman LFC-vs-CN diagnostic, focal-amplification examples (ERBB2 in HER2+, MYC in colorectal, FGFR1 in head and neck), and CRISPRi/a alternatives that bypass the artifact. Use when screening cancer cell lines, diagnosing essentiality at amplified loci, choosing CRISPRcleanR / CERES / Chronos, deciding whether CN correction is needed before MAGeCK / BAGEL2 / drugZ, or switching from Cas9 to CRISPRi.
- 100/100
crispr-screens-crispresso-editing
swaruplab/operon
Quantifies CRISPR editing outcomes with CRISPResso2 (Clement 2019 Nat Biotechnol) across Cas9-nuclease (indels, HDR), CBE and ABE base editors (target conversion + bystander), and prime editor (pegRNA-templated) modes. Covers single-amplicon (CRISPResso), multi-sample batch (CRISPRessoBatch), pooled-amplicon (CRISPRessoPooled), WGS off-target (CRISPRessoWGS), and sample-comparison (CRISPRessoCompare) workflows; quantification-window math that controls what is called edited; substitution-vs-indel diagnostic to distinguish BE from Cas9 contamination; MMEJ deletion pattern interpretation; allele-frequency tables; and failure modes from amplicon misalignment or contamination. Use when quantifying editing from amplicon sequencing, choosing CRISPResso mode by design, distinguishing intended edits from bystanders and indel byproducts, debugging low-alignment runs, or generating publication-grade editing reports.
- 100/100
crispr-screens-drugz-chemogenomic
swaruplab/operon
Analyzes CRISPR drug-modifier (chemogenomic) screens with drugZ (Li & Hart 2019 Genome Med), a bidirectional Z-score method that identifies synthetic-lethal sensitizing genes and resistance-conferring suppressor genes from vehicle vs drug comparisons. Covers vehicle-anchored design (not Day-0), the bidirectional Z math giving 2-3x sensitivity over MAGeCK / STARS / edgeR / RIGER on drug screens, per-gene sumZ and normZ, synth (sensitizer) vs supp (suppressor) FDR, multi-dose handling, integration with control sgRNAs, and comparison with MAGeCK MLE with dose covariate. Use when running a drug-modifier CRISPR screen, identifying sensitizing or resistance genes for a drug candidate, choosing drugZ vs MAGeCK MLE for chemogenomic analysis, troubleshooting low-effect drug screens where MAGeCK lacks sensitivity, or designing a drug-screen layout (vehicle vs drug arms).
- 100/100
crispr-screens-hit-calling
swaruplab/operon
Cross-method decision tree for calling hits in pooled CRISPR screens. Catalogs statistical models (MAGeCK RRA, MAGeCK MLE, BAGEL2, drugZ, JACKS, Chronos, CERES), experimental designs each is built for, failure modes outside design domain, reconciliation when methods disagree, multiple-testing and effect-size thresholds, the order of operations (count -> QC -> CN-correct -> hit-call -> validate), the second-best-sgRNA conservative rule, and consensus-hit strategy. Use when choosing among MAGeCK / BAGEL2 / drugZ / JACKS / Chronos for a given design, reconciling disagreement across two or three methods on the same screen, deciding whether to require consensus, gating downstream validation by hit-confidence tier, or interpreting unstable hit lists across reruns.
- 100/100
crispr-screens-in-vivo-screens
swaruplab/operon
Designs and analyzes in vivo CRISPR screens in animal tumor models, organoids, and immune-cell adoptive transfers. Covers bottleneck math (250x cells/sgRNA requires ~25M cells implanted; impossible for most syngeneic models, forcing focused libraries), focused library design (Manguso 2017 Nature 547:413 immune screen; Chen 2015 tumor screens), CRISPR-StAR intrinsic-control screening (Uijttewaal 2025 Nat Biotechnol 43:1848), clonal-dynamics-limited detection, tumor-explant DNA recovery, syngeneic vs xenograft vs PDX considerations, and the relationship to downstream MAGeCK / drugZ analysis. Use when designing in vivo CRISPR screens for tumor / immune / metastasis biology, choosing focused vs genome-wide for animal models, addressing bottleneck-induced clonal collapse, picking the syngeneic / xenograft / PDX model, integrating in vivo with in vitro results, or applying CRISPR-StAR for animal experiments.
- 100/100
crispr-screens-jacks-analysis
swaruplab/operon
Runs JACKS (Joint Analysis of CRISPR/Cas9 Knockout Screens; Allen et al 2019 Genome Research) which models per-sgRNA log-fold-change as the product of a treatment-dependent gene-essentiality term and a treatment-independent guide-efficacy term. Covers the Bayesian decomposition math, the hierarchical efficacy prior shared across screens performed with the same library, when JACKS outperforms MAGeCK (multi-screen joint analysis, libraries with broad efficacy variance) and when it does not (single screen, novel libraries with no prior efficacy), library-reuse efficacy transfer, downstream essentiality interpretation, and the 2.5x sample-size reduction enabled by efficacy-aware testing. Use when running multiple screens with the same library, when guide-level noise is suspected to dominate per-gene signal, when reusing published essentiality reference screens for efficacy priors, or when comparing screens performed across cell lines that share library but differ biologically.
- 100/100
crispr-screens-library-design
swaruplab/operon
Designs pooled sgRNA libraries for CRISPR knockout, interference (CRISPRi), activation (CRISPRa), Cas12a multiplex, base-editor, and prime-editor screens. Covers on-target scoring (Rule Set 2, Azimuth, DeepSpCas9, CRISPRon), off-target scoring (CFD, MIT), TSS-relative positioning for CRISPRi/a (Horlbeck, Dolcetto, Calabrese), PAM-variant chemistries, control-guide composition, oligo cloning architecture, and library QC. Use when choosing a genome-wide library (GeCKOv2 vs Avana vs Brunello vs TKOv3 vs Inzolia), designing a focused or paralog-focused custom library, picking CRISPRi vs CRISPRa TSS windows, deciding control-guide proportions, or diagnosing library skew and dropout in a freshly cloned pool.
- 100/100
crispr-screens-mageck-analysis
swaruplab/operon
Analyzes pooled CRISPR screens with MAGeCK (Li et al 2014), covering count generation (mageck count), the RRA two-condition workflow (mageck test using alpha-RRA over per-sgRNA negative-binomial p-values), the MLE multi-condition workflow (mageck mle with explicit design matrix and beta-score output), normalization choice (median vs total vs control-sgRNA vs spike-in), sgRNA efficiency injection, paired-sample testing, time-course design, drug-screen versus dropout-screen design matrices, MAGeCKFlute and MAGeCK-VISPR downstream visualization, and decision logic for when to use MAGeCK vs JACKS / BAGEL2 / drugZ / Chronos. Use when running a fresh CRISPR screen analysis, picking RRA vs MLE for the experimental design, choosing a normalization method from QC signatures, debugging MLE convergence failure or NaN beta scores, comparing MAGeCK output across tools, or building a batch-aware multi-cell-line / multi-condition MLE design matrix.
- 100/100
crispr-screens-perturb-seq-analysis
swaruplab/operon
Analyzes single-cell pooled CRISPR screens (Perturb-seq, CROP-seq, Perturb-CITE-seq, ECCITE-seq, multiome) where each cell carries an sgRNA and a scRNA-seq / surface-protein / chromatin readout. Covers experimental design (direct-capture Perturb-seq Dixit 2016 vs CROP-seq 3'UTR-barcoded Datlinger 2017 vs ECCITE-seq vs Multiome), MOI for sgRNA assignment, escaper-cell filtering (Mixscape, Papalexi 2021), SCEPTRE NB GLM + permutation for low-MOI (Barry 2024 Genome Biol 25:124), the Pertpy framework, factor decomposition, genome-scale Perturb-seq (Replogle 2022 Cell, 2.5M cells), and per-perturbation single-cell DE. Use when running a single-cell CRISPR screen, choosing direct-capture vs CROP-seq architecture, filtering escaper cells, performing single-cell DE, integrating Perturb-seq with pathway analysis, scaling to GW CRISPRi via Replogle protocol, or analyzing multi-omics screens.
- 100/100
crispr-screens-prime-editing-screens
swaruplab/operon
Designs and analyzes pooled prime-editor (PE) screens for installing precise genetic variants without bystander confounding. Covers pegRNA design with PRIDICT and PRIDICT2 (Mathis 2023/2024) for predicting per-pegRNA editing efficiency, pegRNA architecture (spacer + scaffold + PBS + RTT), PE2 / PE3 / PE3b / PEmax / PEAR variants, MOSAIC in situ saturation mutagenesis (Hsu JY et al 2024 bioRxiv), the PRIME pooled-screen methodology (Erwood/Doman 2023 Nat Biotechnol 41:885; ~3,699 ClinVar variant screens), chromatin context as a primary determinant of PE efficiency, scaffold-incorporation and indel byproduct quantification with CRISPResso2, and the cross-modal validation strategy of PE + base-editor screens for variant function. Use when designing a pegRNA library for variant installation, choosing between BE and PE for a specific edit, predicting pegRNA efficiency before library synthesis, analyzing PE screen output, distinguishing intended-edit from scaffold-incorporation, or scaling PE screens to thousands of variants.
- 100/100
crispr-screens-screen-qc
swaruplab/operon
Quality control for pooled CRISPR screens covering library representation, Gini index, log-skew, replicate Pearson and Spearman concordance, essentialome precision-recall AUC against CEGv2 (Hart 2017), Cas9 cut-toxicity diagnostics, copy-number amplicon detection (Aguirre 2016 / Munoz 2016), bottleneck propagation through plasmid pool, infection, selection, and endpoint stages, MOI verification, and DepMap-style screen-quality scoring. Use when assessing screen quality before hit calling, deciding whether to repeat or rescue a screen, diagnosing low-confidence hits, choosing between MAGeCK / BAGEL2 / Chronos based on quality grade, picking a normalization strategy from QC signatures, or evaluating whether an in-vivo screen retained adequate library complexity.
- 100/100
criteria-interrogation
yogsoth-ai/de-anthropocentric-research-engine
Challenge the evaluation criteria themselves using Assumption-based Planning, Critical Systems Heuristics, and Boundary Critique to ensure the framework is sound.
- 100/100
criterion-definition
yogsoth-ai/de-anthropocentric-research-engine
Extract evaluation criteria from research goals and candidate alternatives.
- 100/100
critic
QinghongLin/data2story-skill
Review a finished Data2Story blog against the 5 quality rubric dimensions (visual_design, narrative_pacing, data_method_transparency, claim_data_alignment, insight_value), score each 1-7 with on-page evidence, and emit critic.json with pass/fail + targeted, surgical send-back instructions. Verifies every load-bearing claim/asset against its traceability chain before scoring; applies the caveat-survival, honest-accuracy, and third-party-attribution caps. Does NOT rewrite content — scores and sends back. Use at Stage 6.5 after the Auditor and after verify.py has produced verifier.json; re-runs each revision round. Triggers: a built index.html plus verifier.json exist, or you need to judge whether the article is actually good.
- 100/100
critic-attack
yogsoth-ai/de-anthropocentric-research-engine
Attack an advocate's case with multiple arguments rated by severity.
- 100/100
critic-cache
closedloop-ai/claude-plugins
|
- 100/100
critic-defender-judge
yogsoth-ai/de-anthropocentric-research-engine
Strategy: Classic triangular debate — Critic attacks, Defender responds, Judge adjudicates. Based on Irving AI Safety via Debate with Toulmin argumentation structure.
- 100/100
critical-argumentation
Tibsfox/gsd-skill-creator
Practical argument analysis and construction -- how to identify, evaluate, reconstruct, and build real arguments in natural language. Covers argument identification (premises, conclusions, intermediate steps), charity and steel-manning, argument mapping, the distinction between deductive validity and inductive strength, burden of proof, and the rhetorical context in which arguments operate. Use when the goal is to engage with real-world argument rather than to formalize it.
- 100/100
critical-case-design
yogsoth-ai/de-anthropocentric-research-engine
Flyvbjerg critical case methodology: select most-likely and least-likely cases to maximize inferential power.
- 100/100
critical-chain-identification
yogsoth-ai/de-anthropocentric-research-engine
Identify the critical chain — longest path considering resource contention
- 100/100
critical-code-reviewer
posit-dev/skills
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
- 100/100
critical-path-analyzer
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Analyze project critical path from schedule data. Identify critical activities, calculate float, and assess schedule risk.
- 100/100
critical-path-calculation
yogsoth-ai/de-anthropocentric-research-engine
CPM forward/backward pass with float calculation to identify the critical path
- 100/100
critical-path-identification
yogsoth-ai/de-anthropocentric-research-engine
Identify which input uncertainties contribute most to output uncertainty and compute EVPI for research prioritization.
- 100/100
critical-path-planning
yogsoth-ai/de-anthropocentric-research-engine
Identify the shortest execution path via CPM forward/backward pass, resource leveling, and buffer insertion
- 100/100
critical-perspective
infranodus/skills
Engage in critical thinking by questioning assumptions, exploring alternative perspectives, and uncovering latent topics in conversations. Use when discussions could benefit from deeper exploration, when identifying blind spots, or when broadening understanding through respectful challenge and curiosity-driven inquiry.
- 100/100
critical-reading
Tibsfox/gsd-skill-creator
Analytical evaluation of texts for argument quality, author purpose, bias, credibility, and rhetorical strategy. Covers the distinction between comprehension and critique, argument analysis (claims, evidence, reasoning, warrants), rhetorical appeals (ethos, pathos, logos), bias identification (selection bias, confirmation bias, loaded language, omission), source credibility evaluation (CRAAP test, lateral reading), propaganda techniques, media literacy, and multi-text synthesis. Use when evaluating arguments, identifying bias, assessing source reliability, analyzing rhetoric, or synthesizing across multiple texts on the same topic.
- 100/100
critical-thinking
Tibsfox/gsd-skill-creator
Critical thinking as philosophical practice. Covers the Socratic method (elenchus), argument identification and reconstruction, premise evaluation, fallacy detection (formal and informal), charitable interpretation (principle of charity), dialectical thinking (thesis-antithesis-synthesis), thought experiment methodology, philosophical writing and reading, intellectual virtues (humility, courage, empathy, honesty), Dewey's reflective thinking, and critical thinking applied to everyday reasoning. Use when analyzing arguments, practicing Socratic questioning, evaluating reasoning, or developing philosophical method.
- 100/100
critique
educlopez/ui-craft
Design lens critique covering visual hierarchy, clarity, and anti-slop patterns — produces a findings table, no code edits unless asked. Use when the user wants a design review, says "what's wrong with this UI", or needs a second opinion before a handoff or presentation. Invoke when the user asks for critique on their UI, or mentions 'critique' alongside design / UI / frontend work.
- 95/100
crm
superagi/skills
Manage CRM records in SuperAGI Sales via the CRM CLI
- 100/100
crm-automation
aAAaqwq/AGI-Super-Team
CRM workflow automation for HubSpot, Salesforce, Pipedrive - lead management, deal tracking, and multi-CRM synchronization
- 100/100
crm-autopilot
anthropics/knowledge-work-plugins
>
- 100/100
crm-duplicate-review
Significant-Gravitas/skills-catalog
Find likely duplicate records with stated match rules and evidence, for a person to merge.
- 100/100
crm-field-audit
Significant-Gravitas/skills-catalog
Audit CRM fields by fill rate, format, and use, and propose keep, fix, or retire for each.
- 100/100
crm-hygiene
guia-matthieu/clawfu-skills
Audit and improve CRM data quality by identifying missing fields, inconsistent values, duplicate records, and stale data
- 100/100
crm-hygiene-audit
t0ddc3by/claude-for-customer-success
Overall CRM health score plus rep-level hygiene scorecard across three dimensions: completeness, accuracy, and recency. Produces weekly hygiene report for RevOps review before sharing with Sales managers. Never writes to CRM — all corrections are proposals. Triggers: 'CRM hygiene', 'data quality', 'hygiene report', 'field completeness', 'CRM health score'.
- 100/100
crm-hygiene-check
anthropics/knowledge-work-plugins
Read-only audit of your CRM opportunities for missing fields, stale dates, and stage mismatches - outputs a fix checklist to apply by hand or through update-opportunity. Use when the user asks "check my CRM hygiene", "check my Salesforce or HubSpot data", "clean up my CRM", "audit my opps", "what's missing in the CRM", or "clean up my pipeline".
- 100/100
crm-hygiene-report
Significant-Gravitas/skills-catalog
Report CRM health for a period with counts, trends, owners, and the next fixes.
- 100/100
crm-import
aAAaqwq/AGI-Super-Team
Import data from staging to master CRM with validation
- 90/100
crm-integration
manojbajaj95/claude-gtm-plugin
CRM integration patterns for Close CRM, HubSpot, and Salesforce. Use when: Close CRM, HubSpot, Salesforce, CRM API, lead sync, deal sync, activity logging, CRM webhook, pipeline automation, contact enrichment.
- 100/100
crm-management
mkurman/zorai
>
- 100/100
crm-sync
indranilbanerjee/digital-marketing-pro
Sync data to CRM platforms. Use when: pushing contacts, deals, or campaigns to Salesforce, HubSpot, Zoho, or Pipedrive.
- 100/100
cro
indranilbanerjee/digital-marketing-pro
Optimize conversion rates. Use when: auditing landing pages, testing forms, or improving checkout flow.
- 100/100
cro
coreyhaines31/marketingskills
When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms. Also use when the user says 'CRO,' 'conversion rate optimization,' 'this page isn't converting,' 'improve conversions,' 'why isn't this page working,' 'my landing page sucks,' 'form abandonment,' 'nobody's converting,' 'low conversion rate,' or 'this page needs work.' Use this even if the user just shares a URL and asks for feedback. For signup/registration flows, see signup. For post-signup activation, see onboarding. For popups/modals, see popups.
- 100/100
cro-advisor
alirezarezvani/claude-skills
Use for B2B revenue leadership: forecasting, quotas, sales model, NRR and churn, pricing or sales capacity. Forecasts with revenue_forecast_model.py and analyzes churn with churn_analyzer.py.
- 100/100
cro-auditor
thatrebeccarae/claude-marketing
Conversion Rate Optimization auditing for landing pages, signup flows, checkout funnels, forms, and CTAs. Identifies friction points, runs heuristic evaluations, produces prioritized recommendations using ICE/PIE frameworks. Use when the user asks about conversion optimization, funnel analysis, landing page audits, form optimization, CTA testing, or checkout improvement.
- 100/100
cro-methodology
wondelai/skills
Audit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isnt converting", "conversion rate", "A/B test", "why visitors leave", "objection handling", "bounce rate", "conversion funnel", "increase signups", or "people add to cart but dont buy". Also trigger when diagnosing why signups are low, designing experiment hypotheses, or auditing checkout flows for friction points. Covers funnel mapping, persuasion assets, and objection/counter-objection frameworks. For overall marketing strategy, see one-page-marketing. For usability issues, see ux-heuristics.
- 100/100
cro-optimization
rampstackco/claude-skills
Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B tests, audit a funnel, generate test hypotheses, design experiments, or analyze test results. Triggers on conversion optimization, CRO, A/B test, split test, multivariate test, hypothesis, conversion funnel, funnel audit, experiment design, statistical significance, lift, optimization. Also triggers when the user has a conversion problem and isn't sure where to start, or when test results are ambiguous and need interpretation.
- 100/100
cro-review
alirezarezvani/claude-skills
Challenge a forecast, win-rate drop or sales hires. Use whenever asked or /c-level-agents:cro-review.
- 100/100
cron
TerminalSkills/skills
>-
- 100/100
cron-job-auditor
notque/vexjoy-agent
Audit cron scripts for reliability and safety.
- 100/100
cron-jobs
openai/plugins
Vercel Cron Jobs configuration and best practices. Use when adding, editing, or debugging scheduled tasks in vercel.json.
- 100/100
cron-manager
aAAaqwq/AGI-Super-Team
创建、监控、诊断和修复 OpenClaw cron 任务,支持自然语言时间与常见故障排查。
- 100/100
cron-model-migration
aAAaqwq/AGI-Super-Team
Safely change models for OpenClaw cron jobs without leaving behind session/model mismatch errors. Use when creating or editing cron jobs with `payload.model`, when moving a job between models/providers, when diagnosing `LiveSessionModelSwitchError`, or when deciding whether a cron should run in `sessionTarget: "isolated"`, `"current"`, `"main"`, or a custom persistent session.
- 100/100
cron-watchdog-debug
vercel-labs/vercel-openclaw-archived
Cron and watchdog debugging for vercel-openclaw: Vercel Cron auth, persisted OpenClaw jobs, cron wake keys, token refresh, restore oracle, hot spare, and watchdog reports. Use when scheduled OpenClaw jobs fail to wake or run, watchdog status is wrong, cron persistence is suspect, or /api/cron/watchdog behavior changes.
- 55/100
cronlytic
vm0-ai/vm0-skills
Cronlytic API for cron job monitoring. Use when user mentions "cron job",
- 100/100
cross_species_genomics
InternScience/scp
Cross-Species Comparative Genomics - Compare genomes across species: Ensembl compara, alignment, gene trees, and NCBI taxonomy. Use this skill for comparative genomics tasks involving get info compara species sets get alignment region get genetree member symbol get taxonomy. Combines 4 tools from 2 SCP server(s).
- 100/100
cross-agent-delegation
alinaqi/maggy
Cross-agent task routing — Codex auto-review, Kimi delegation by complexity score (iCPG + Claude reasoning), iCPG + Mnemos mandatory for all agents
- 100/100
cross-border-ecommerce
nexscope-ai/eCommerce-Skills
Cross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory complexity, logistics infrastructure, payment ecosystem, cultural distance, IP protection), compares 5 fulfillment models with cost and transit data, provides country-by-country tax/duty compliance guides (EU VAT/IOSS, UK VAT, US sales tax, CA GST, AU GST, JP consumption tax), maps local payment preferences by market, and builds a phased expansion roadmap. No API key required.
- 100/100
cross-class-cram-down-und-absolute-priority
Klotzkette/claude-fuer-deutsches-recht
Cross-Class-Cram-Down nach § 26 StaRUG: gerichtliche Planbestätigung gegen ablehnende Gruppen, Absolute-Priority-Rule, Schlechterstellungsverbot § 30 StaRUG, Obstruktionsverbot § 31 StaRUG, Anwendungsvoraussetzungen.
- 100/100
cross-consistency-analysis
yogsoth-ai/de-anthropocentric-research-engine
CCA: pairwise consistency checking to reduce solution space 90-99%
- 100/100
cross-consistency-filtering
yogsoth-ai/de-anthropocentric-research-engine
Orchestrates pairwise consistency evaluation and narrative construction to filter the morphological field
- 100/100
cross-conversation-project-manager
OneWave-AI/claude-skills
Maintain project state across MULTIPLE conversations over days/weeks. Track tasks, decisions, blockers, resources. Auto-update when project mentioned. Generate status reports and proactive reminders.
- 100/100
cross-crm-opportunity-sync
zapier/gtm-cheat-codes
Coordinate opportunities and customer records across multiple CRMs while preserving attribution, visibility, commissions, and governance.
- 100/100
cross-database-verification
yogsoth-ai/de-anthropocentric-research-engine
Verify gap existence across multiple databases (Semantic Scholar, Google Scholar, arXiv, domain-specific). Distinguishes database-specific gaps from universal gaps.
- 100/100
cross-disciplinary-bridge-finder
aipoch/medical-research-skills
Use when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building interdisciplinary research teams. Identifies synergies between scientific disciplines, matches researchers with complementary expertise, and facilitates cross-domain collaborations. Supports interdisciplinary grant applications and innovative research team formation.
- 100/100
cross-disease-shared-biomarker-network
aipoch/medical-research-skills
Generates complete cross-disease shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction. Always use this skill whenever a user wants to design, plan, or build a multi-dataset study linking two related diseases through shared DEGs, enrichment, PPI hub genes, public validation, regulatory-network analysis, immune infiltration, drug-gene interaction screening, and optional qRT-PCR or cell-line validation. Covers five study patterns (shared-DEG discovery, hub-gene prioritization, regulatory-network interpretation, immune/drug follow-up, bioinformatics-plus-validation) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, and a strictly verified reference literature retrieval layer with real references only.
- 100/100
cross-document-analyzer
Community-Access/accessibility-agents
Internal helper for cross-document accessibility pattern detection, severity scoring, template analysis, and remediation tracking. Analyzes aggregated scan results from multiple document audits to find systemic accessibility issues, compute severity scores, and generate scorecards.
- 100/100
cross-domain-attack-chain
wgpsec/AboutSecurity
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- 100/100
cross-domain-discovery
yogsoth-ai/de-anthropocentric-research-engine
Cross-Domain Discovery Campaign — find transferable mechanisms from unrelated fields via bisociation, analogical transfer, random stimulus, and forced bridging
- 100/100
cross-domain-synthesis
yogsoth-ai/de-anthropocentric-research-engine
Synthesize all cross-domain findings into a structured idea report. Integrates outputs from all strategies and SOPs.
- 100/100
cross-eval
alirezarezvani/claude-skills
Use for /c-level-agents:cross-eval, or when a high-stakes memo needs independent review by several models before the boardroom.
- 100/100
cross-examination
yogsoth-ai/de-anthropocentric-research-engine
Probes defender responses for inconsistencies, logical gaps, and unsupported claims. Acts as follow-up interrogation after initial defense.
- 100/100
cross-functional-collaboration
liqiongyu/lenny_skills_plus
Produce a Cross-Functional Collaboration Pack (charter, stakeholder map, roles contract, decision log).
- 90/100
cross-instance-comm
aAAaqwq/AGI-Super-Team
Use when sending messages or tasks between multiple OpenClaw instances over Tailscale Gateway, such as asking another machine to execute work or sync context.
- 100/100
cross-linker
Ar9av/obsidian-wiki
>
- 100/100
cross-model-review
github/lever
Reviews a PR, diff, plan or skill with 2–3 models from different providers working blind and independently, and surfaces only the findings they agree on or that survive a contradiction-first proof; a precision mode runs one automated reviewer that posts at most two proven findings and stays silent otherwise. Use when asked to "review this with opus, codex and gemini", "rubber duck this plan", "second opinion", "only show me issues the models agree on", when a plan is about to drive a day or more of work, when work has been stuck for hours, or when setting up review-on-ready automation.
- 100/100
cross-national
Aperivue/medsci-skills
End-to-end cross-national comparison study using KNHANES + NHANES + CHNS (or other parallel surveys). Variable harmonization, parallel weighted analysis, and comparison tables. Supports 2-country (KR+US) and 3-country (KR+US+CN) designs.
- 100/100
cross-node-sync
sonichi/sutando
Rsync-over-ssh sync between Sutando nodes (Mac Studio and MacBook) for shared memory + notes. Optional — core runs fine without it; enables automatic cross-bot learning and note propagation by running from the proactive-loop cron on each pass.
- 100/100
cross-page-analyzer
Community-Access/accessibility-agents
Internal helper for cross-page accessibility pattern detection, severity scoring, and scorecard generation. Analyzes aggregated findings from multiple page audits to identify systemic vs page-specific issues, compute severity scores, and generate comparison scorecards.
- 100/100
cross-platform-audit
thatrebeccarae/claude-marketing
Unified multi-platform paid media audit with parallel execution. Spawns scored audits for Google Ads, Meta Ads, and Microsoft Ads simultaneously, merges results into a budget-weighted aggregate health score (A-F), adds cross-platform analysis (budget allocation, tracking consistency, creative alignment, attribution overlap), and produces a prioritized action plan. Optionally generates a client-ready deck via pro-deck-builder. Use when the user asks for a full paid media audit, cross-platform review, or multi-channel ad assessment.
- 85/100
cross-platform-poster
aAAaqwq/AGI-Super-Team
Publish one piece of content across MoltX, Twitter/X, Discord, and Telegram
- 100/100
cross-poster-blurb
lyndonkl/claude
Writes a 60-140 word third-person blurb for the Substack cross-post feature, positioned so another newsletter writer can paste it into their cross-post popup without editing. Third-person throughout ("In this piece, Kushal argues…"). No subscriber CTAs. Use as the cross-post arm of the Distribution Translator. Trigger keywords: cross-post, cross-poster, blurb, Substack cross-post, third person, positioning.
- 100/100
cross-ref-topic-ledger
lyndonkl/claude
For each Trend Scout candidate item, checks substacker shared-context/topic-ledger.md and tags with NEW | OVERLAPS seed:{slug} | OVERLAPS draft:{slug} | OVERLAPS published:{slug}. Adds a reinforcement_angle note for items overlapping with published posts ("external confirmation of X"). Read-only against the ledger. Use after summarize-signal, before rank-by-user-fit. Trigger keywords: cross-ref, ledger check, overlap, reinforcement, dedup external.
- 100/100
cross-reference-claim
lyndonkl/claude
Finds and cites a primary source for each substacker draft claim — original arXiv paper, official documentation, RFC, canonical textbook. Source hierarchy enforced: primary > secondary > tertiary > not-a-source. Records URL, title, passage/result that settles the claim. Use after classify-claim; runs once per claim unless classification is simplified-correct with high confidence on standard undergrad material. Trigger keywords: cross-reference, primary source, citation, arXiv, RFC, paper lookup, source hierarchy.
- 100/100
cross-repo-cache
closedloop-ai/claude-plugins
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- 100/100
cross-repository-references
MicrosoftDocs/semantic-kernel-docs
>
- 100/100
cross-review
EliasOulkadi/shokunin
Delegate code review to a subagent running a specific model. Use ONLY when user explicitly names a model to review changes ("review with opus", "use sonnet to review", "review with gemini"). The root agent reconstructs changes from conversation history and spawns a subagent with the code-review skill using the specified model. Do NOT use for general code review (use code-review skill instead), for reviewing PRs from git history, or when no model is specified by the user.
- 100/100
cross-sdk-parity
ComposioHQ/composio
Keep TypeScript and Python SDK behavior, generated client usage, public API naming, and docs examples aligned. Use when a change affects both SDKs, when generated client pins move, when comparing TS/Python behavior, or when a backend API contract changed. Do not use for single-language internal-only changes.
- 100/100
cross-squad
microsoft/aitour26-BRK445-building-enterprise-ready-ai-agents-with-microsoft-foundry
Create work in another squad's repository
- 100/100
cross-stack-bugfix
vllm-project/semantic-router
Diagnoses and fixes bugs that span multiple layers (runtime, CLI, UI, platform, tests) requiring coordinated changes across surfaces. Use when a bug does not map cleanly to a narrower skill, the fix touches more than one surface, or changes need cross-cutting validation.
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