Browse Skills — Page 173
32,505 public skills · showing 17,201–17,300
- 100/100
llm-as-computer
oaustegard/claude-skills
Execute programs on a compiled transformer stack machine where every instruction fetch and memory read is a parabolic attention head. Demonstrates that transformer attention + FF layers can implement a working computer. Use when user mentions "llm-as-computer", "lac", "stack machine", "compiled transformer", "percepta", "parabolic attention", "execute program", or asks to run/trace programs on the transformer executor.
- 85/100
llm-benchmark
KerberosClaw/kc_ai_skills
Use when the user wants to test, compare, or choose local Ollama models for their machine. Checks Ollama/GPU state, recommends model sizes from available VRAM, preserves existing benchmark records, pulls only approved models, runs repeatable benchmarks, restores stopped services, and writes a markdown comparison report. NOT for hosted API model evaluation or subjective chat-quality judging without local benchmark commands.
- 100/100
llm-cost-optimizer
alirezarezvani/claude-skills
Use whenever an LLM feature is being built or its costs come up (model choice, prompt caching, token limits, per-feature spend). Sets routing, caching, max_tokens and cost logging before launch rather than after the bill.
- 100/100
llm-council
rohitg00/pro-workflow
Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider config from env (OPENAI/ANTHROPIC/FIREWORKS/OPENROUTER/custom OpenAI-compatible base URL). Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.
- 95/100
llm-data-automation
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.
- 100/100
llm-document-extraction
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Convert unstructured PDFs to structured JSON/Excel.
- 100/100
llm-evaluation
benjaminasterA/antigravity-awesome-skills
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or ...
- 100/100
llm-evaluation
wshobson/agents
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
- 100/100
llm-evaluation-v2
diegosouzapw/awesome-omni-skills
LLM Evaluation workflow skill. Use this skill when the user needs Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 80/100
llm-friendly-context
shinpr/ai-coding-project-boilerplate
Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.
- 100/100
llm-gate
rohitg00/pro-workflow
LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.
- 100/100
llm-icon-finder
daymade/claude-code-skills
Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.
- 100/100
llm-integration
yonatangross/orchestkit
LLM integration patterns for function calling, streaming responses, local inference with Ollama, and fine-tuning customization. Use when implementing tool use, SSE streaming, local model deployment, LoRA/QLoRA fine-tuning, or multi-provider LLM APIs.
- 100/100
llm-judge
existential-birds/beagle
Use when comparing two or more code implementations against a spec or requirements doc. Triggers on \"which repo is better\", \"compare these implementations\", \"evaluate both solutions\", \"rank these codebases\", or \"judge which approach wins\". Also covers choosing between competing PRs or vendor submissions solving the same problem. Does NOT review a single codebase for quality \u2014 use code review skills instead. Does NOT evaluate strategy docs \u2014 use strategy-review. Requires a spec file and 2+ repo paths.
- 100/100
llm-models
inferen-sh/superpowers
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative
- 100/100
llm-ops
diegosouzapw/awesome-omni-skills
LLM-OPS -- IA de Producao workflow skill. Use this skill when the user needs LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
llm-ops-v2
diegosouzapw/awesome-omni-skills
LLM-OPS -- IA de Producao workflow skill. Use this skill when the user needs LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
llm-optimized-content
guia-matthieu/clawfu-skills
Use when creating content that must be discoverable by AI search engines (ChatGPT, Perplexity, Gemini). Use when SEO alone isn't enough, when you need AI citations, or when optimizing for the "zero-click" future.
- 100/100
llm-patterns
alinaqi/maggy
AI-first application patterns, LLM testing, prompt management
- 100/100
llm-prompt-optimizer
diegosouzapw/awesome-omni-skills
LLM Prompt Optimizer workflow skill. Use this skill when the user needs improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
llm-prompt-optimizer-v2
diegosouzapw/awesome-omni-skills
LLM Prompt Optimizer workflow skill. Use this skill when the user needs improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
llm-runtime-architecture
agentlas-ai/Agentlas-OS
Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.
- 100/100
llm-seo-readiness
aptos-labs/aptos-docs
>-
- 100/100
llm-structured-output
diegosouzapw/awesome-omni-skills
LLM Structured Output workflow skill. Use this skill when the user needs > and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
llm-structured-output-v2
diegosouzapw/awesome-omni-skills
LLM Structured Output workflow skill. Use this skill when the user needs > and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 80/100
llm-trading-agent-security
affaan-m/ECC
Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.
- 100/100
llm-wiki
NousResearch/hermes-agent
Karpathy's LLM Wiki: build/query interlinked markdown KB.
- 100/100
llm-wiki-lint
KerberosClaw/kc_ai_skills
Use when the user wants to lint a repo following the Karpathy LLM Wiki pattern (raw/ + wiki/ + SCHEMA.md / index.md / log.md). The skill detects path, scans wiki pages + schema layer, reports frontmatter gaps, broken in-body links, source traceability breaks, stale claims, orphan pages, index synopsis contradictions, and SCHEMA-vs-reality drift. Phase 1 is read-only report; Phase 2 (fix + log.md LINT entry) only runs after the user explicitly approves.
- 100/100
llm-wiki-setup
daymade/claude-code-skills
Co-create a personal investment-research LLM Wiki (Andrej Karpathy's pattern) where the user's OWN analysis framework becomes a living CLAUDE.md — by interviewing them, NOT by handing them a template. Use whenever the user wants to build a compounding research knowledge base, 投研第二大脑, 投研知识库, or 个人投研 wiki; instantiate Karpathy's LLM Wiki gist for finance/investing; turn their stock-picking, analyst-tracking, or earnings-watching workflow into a structured markdown vault; or build a wiki tracking companies / industries / macro / analysts over time. Pure markdown + wikilinks, NO RAG / vector DB (Karpathy's core idea — do not over-engineer). Also triggers for ingesting research reports / earnings calls / expert notes into an existing wiki, and for post-earnings prediction→fulfillment reviews. Core value = extracting the user's personal investment preferences into THEIR OWN schema, never imposing a standard one.
- 100/100
llms-txt
thatrebeccarae/claude-marketing
Generate and maintain llms.txt files for AI discoverability. Scans repos to create curated content maps that help AI answer engines surface your project accurately. Implements the llms.txt specification from Answer.AI.
- 100/100
llms-txt-generator
Varnan-Tech/opendirectory
Generates and maintains a standards-compliant llms.txt file for any website — either by crawling the live site OR by reading the website's codebase directly. Use this skill when asked to create an llms.txt, add AI discoverability to a site, improve GEO (Generative Engine Optimization), make a website readable by AI agents, generate an llms-full.txt, check if a site has llms.txt, or audit a site's AI readiness for generative search. Trigger this skill any time a user mentions llms.txt, AI discoverability, LLM site readability, or wants their site to appear in AI-generated answers. Also trigger when the user is inside a website codebase and asks about SEO, AI readiness, or content structure.
- 100/100
llp-adopt
expo/expo-device-hub
Bring LLP to a repository and keep its installed skills current — the single entry point for "set up LLP here" and "update the LLP skills". Scaffold mode (fresh structure), retrofit mode (survey the codebase, draft a provenance-tagged root LLP, propose an adoption plan), install step (copy skills from a tagged release with a receipt), and update mode (verified, diff-approved skill updates).
- 100/100
llp-create
expo/expo-device-hub
Create a new LLP document with the next available number (top-level NNNN or a dotted sub-LLP under a parent), the NNNN-slug.type.md filename convention, and a scaffolded metadata header, linked into llp/current/ — or extend an existing LLP when one already covers the topic.
- 100/100
llp-maintain
expo/expo-device-hub
Keep an LLP corpus in sync with its code. Detects code/doc drift, validates @ref annotations interactively, checks provenance tags, and proposes reconciliations, ref repairs, status changes, and overlay changes. Modes — pre-pr, audit, reconcile, retire-proposal, curate (the promote → archive → realign pass). Proposes; never applies.
- 100/100
llp-orient
expo/expo-device-hub
Before editing a subsystem, file, or starting a task, assemble the governing LLP context — read the root LLP, follow the @ref annotations on the code in scope, and find the LLPs covering the relevant systems. Produces a compact context pack of the constraints a change must respect. Read-only.
- 80/100
llp-review
expo/expo-device-hub
Run the LLP 0005 review loop for an LLP document — orchestrate reviews from other model families, write one provenance-tracked artifact per review actually received under llp/reviews/, and never fabricate a review or accept on the author's behalf. Review intensity scales with stakes; the author decides when it's enough.
- 100/100
lm-evaluation-harness
mkurman/zorai
LLM evaluation framework (EleutherAI lm-evaluation-harness). Unified benchmark evaluation for language models with 200+ tasks, support for HuggingFace transformers, vLLM, SGLang, OpenAI API, GGUF, and custom models. Used by HuggingFace Open LLM Leaderboard. Covers MMLU, HellaSwag, ARC, GSM8K, HumanEval, BBH, TruthfulQA, and more.
- 70/100
lm-studio-subagents
TerminalSkills/skills
>-
- 100/100
lmnt-automation
ComposioHQ/awesome-claude-skills
"Automate Lmnt tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
ln-11-plan-reviewer
levnikolaevich/claude-code-skills
Reviews implementation plans against repository evidence and current authoritative guidance. Use before execution to expose gaps and risks; not for completed delivery review.
- 100/100
ln-12-delivery-reviewer
levnikolaevich/claude-code-skills
Reviews a completed scoped change and its affected runtime and contract paths. Use to find change-caused defects and verify readiness; not for codebase audit, implementation, or repair.
- 100/100
ln-21-documentation-auditor
levnikolaevich/claude-code-skills
Audits documentation and code comments for structure, coverage, factual accuracy, and maintainability. Use for documentation trust reviews; not code, test, or architecture audits.
- 100/100
ln-22-codebase-auditor
levnikolaevich/claude-code-skills
Audits cross-cutting code health across security, delivery, maintainability, dependencies, diagnosability, concurrency, and lifecycle. Use when no specialist audit is primary.
- 100/100
ln-23-test-suite-auditor
levnikolaevich/claude-code-skills
Audits whether an existing test suite proves important product behavior with strong, isolated tests. Use when test confidence is uncertain; not to design or implement new tests.
- 100/100
ln-24-architecture-auditor
levnikolaevich/claude-code-skills
Audits implemented architecture fitness, boundaries, contracts, dependency topology, structure, and configuration ownership. Use for system structure; not implementation-plan review.
- 100/100
ln-25-persistence-auditor
levnikolaevich/claude-code-skills
Audits queries, transactions, data-path performance, and persistence resource lifecycle. Use when data correctness or scalability is at risk; not for general performance tuning.
- 100/100
ln-31-performance-optimizer
levnikolaevich/claude-code-skills
Optimizes a measured latency, throughput, memory, CPU, or I/O problem through profiling and keep-or-discard experiments. Use for a known bottleneck; not unbiased A/B comparison.
- 100/100
ln-32-dependency-upgrader
levnikolaevich/claude-code-skills
Upgrades dependencies across package managers with breaking-change research and rollback-safe verification. Use for dependency maintenance; not general code modernization.
- 100/100
ln-33-code-modernizer
levnikolaevich/claude-code-skills
Modernizes a bounded capability by removing obsolete custom mechanisms or reducing bundle and maintenance cost. Use for proven modernization value; not routine upgrades or tuning.
- 100/100
ln-34-benchmark-comparator
levnikolaevich/claude-code-skills
Compares tools or implementations through reproducible A/B workloads, correctness oracles, and controlled measurements. Use to choose alternatives; not to optimize a known bottleneck.
- 100/100
ln-41-test-strategy-planner
levnikolaevich/claude-code-skills
Designs a risk-based test strategy and prioritized scenarios without changing code. Use when requirements need a test plan; not for auditing or implementing tests.
- 100/100
ln-42-acceptance-test-builder
levnikolaevich/claude-code-skills
Creates and runs reproducible acceptance tests for stated requirements using project-native tooling. Use when executable acceptance evidence is needed; not for audits or product fixes.
- 100/100
ln-51-opportunity-evaluator
levnikolaevich/claude-code-skills
Evaluates new product directions using current demand, acquisition, competition, economics, and validation evidence. Use before commitment; not for backlog or implementation planning.
- 100/100
ln-61-skill-reviewer
levnikolaevich/claude-code-skills
Reviews standalone skills and their configured distribution surfaces before publication. Use for skill release readiness; not for product code or implementation-plan review.
- 100/100
ln-62-repository-publisher
levnikolaevich/claude-code-skills
Validates, commits, pushes, and remotely verifies approved repository changes. Use when publication is requested; not for releases, package publishing, or announcements.
- 100/100
ln-63-release-publisher
levnikolaevich/claude-code-skills
Prepares and publishes a tagged GitHub release from repository evidence. Use for an explicit release request; not for ordinary commits, packages, or community news.
- 100/100
ln-64-community-announcer
levnikolaevich/claude-code-skills
Drafts and publishes fact-checked GitHub Discussions announcements. Use for releases, updates, or project news; not for release creation or issue responses.
- 100/100
load-balancer
TerminalSkills/skills
>-
- 100/100
load-bearing-identification
yogsoth-ai/de-anthropocentric-research-engine
Identify which factors are "load-bearing walls" — factors whose removal would collapse the conclusion.
- 100/100
load-mr-context
TheBushidoCollective/han
Load MR context for the current branch using GitLab MCP tools
- 100/100
load-pr-context
TheBushidoCollective/han
Load PR context for the current branch using GitHub MCP tools
- 100/100
load-skill
openakita/openakita
Load a newly created skill from skills/ directory to make it immediately available
- 85/100
load-testing-plan
mohitagw15856/pm-claude-skills
Write a load and performance testing plan for a service. Use when asked to create a performance test plan, write load testing documentation, define stress or soak test scenarios, or set performance regression gates for CI. Produces a complete test plan document with scenario definitions, k6/Locust script skeleton, threshold table, result interpretation guide, and CI integration steps.
- 100/100
local-action-verification
google-labs-code/jules-skills
Set up a repository for local GitHub Actions verification using act, so Jules can validate CI before pushing
- 100/100
local-ai-agents
microsoft/ai-agents-for-beginners
>-
- 65/100
local-dev-setup
mohitagw15856/pm-claude-skills
Write a local development environment setup guide for a service or project — covering prerequisites, repository setup, environment variables, local service dependencies, database seeding, running the service, running tests, common gotchas, IDE recommendations, and first-contribution checklist. Use when asked to write a dev setup guide, create onboarding documentation for engineers, document local environment setup, or write a getting-started guide for a codebase. Produces a complete setup guide that a new engineer can follow from zero to running tests in under 30 minutes, with a troubleshooting section for the most common setup failures.
- 100/100
local-explorer
cloudflare/workers-sdk
How to add products/resources to the local explorer or local API. Use when implementing new local APIs, or UI routes under packages/miniflare/src/workers/local-explorer or packages/local-explorer-ui.
- 90/100
local-gh-dev
langchain-ai/open-swe
Run the Open SWE dashboard locally against real GitHub data, signed in with the `gh` CLI instead of a per-machine GitHub App. Use when asked to run the app locally, test a dashboard change against real PRs, reproduce something a screenshot shows, or when local login fails with "GITHUB_APP_CLIENT_ID not configured".
- 100/100
local-gmb-visibility
seranking/seo-skills
>
- 100/100
local-legal-seo-audit
diegosouzapw/awesome-omni-skills
Local Legal SEO Audit workflow skill. Use this skill when the user needs Audit and improve local SEO for law firms, attorneys, forensic experts and legal/professional services sites with local presence, focusing on GBP, directories, E-E-A-T and practice/location pages and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
local-legal-seo-audit-v2
diegosouzapw/awesome-omni-skills
Local Legal SEO Audit workflow skill. Use this skill when the user needs Audit and improve local SEO for law firms, attorneys, forensic experts and legal/professional services sites with local presence, focusing on GBP, directories, E-E-A-T and practice/location pages and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
local-llm-expert
diegosouzapw/awesome-omni-skills
local-llm-expert workflow skill. Use this skill when the user needs Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
local-llm-expert-v2
diegosouzapw/awesome-omni-skills
local-llm-expert workflow skill. Use this skill when the user needs Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. Expert in quantization formats (GGUF, EXL2) and local AI privacy and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 90/100
local-llm-free
artokun/comfyui-mcp
Run the ComfyUI agent locally for FREE — no subscription, no API key, fully offline — using our gemma4 models fine-tuned on the comfyui-mcp tool suite via Ollama. Use when the user asks about running locally, running for free, offline use, avoiding API costs, Ollama setup, or which local model to pick.
- 95/100
local-llm-ops
bobmatnyc/claude-mpm-skills
Local LLM operations with Ollama on Apple Silicon, including setup, model pulls, chat launchers, benchmarks, and diagnostics.
- 100/100
local-package
ClipboardHealth/core-utils
Use Clipboard's internal CLI to link and unlink @clipboard-health packages across repositories for local development. Use when testing local package changes, linking @clipboard-health packages between repos, or using the cbh CLI local-package command.
- 80/100
local-places
ComposioHQ/openclaw-composio
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
- 100/100
local-publish-sts
microsoft/sqltoolsservice
Build SQL Tools Service (STS) and run the Cake LocalPublish target so the resulting binaries are available under artifacts/publish for local testing. Use when: building STS locally, running LocalPublish, rebuilding STS after code changes, preparing STS for use by another extension/client, "publish STS", "local publish", "build SQL Tools Service", "rebuild STS". This skill only builds; if the goal is to also point vscode-mssql at the output, follow up with the `hook-local-sts-into-mssql` skill.
- 100/100
local-resources
wgpsec/AboutSecurity
本地资源库导航——字典库(Dic)、Payload库、POC库的结构和使用方法。当需要使用 ffuf/spray 目录爆破、密码爆破、或构造 Fuzz payload 时必读。覆盖字典选择策略、payload 模板调用、POC 库搜索方法。字典库统一安装在 /pentest 目录下
- 100/100
local-seo
nowork-studio/NotFair
>
- 100/100
local-seo-audit
indranilbanerjee/digital-marketing-pro
Audit local SEO health. Use when: reviewing GBP optimization, NAP consistency, local citations, or local pack rankings.
- 100/100
local-seo-manager
alirezarezvani/claude-skills
Use for any local business's Google Business Profile, Maps ranking, service-area pages, citations or review replies, before writing. Checks NAP consistency with nap_checker.py and generates LocalBusiness schema and area pages with its scripts.
- 100/100
local-vault
genli-ai/market-research-skills
>-
- 85/100
localai
TerminalSkills/skills
Expert guidance for LocalAI, the open-source drop-in replacement for OpenAI's API that runs locally. Helps developers self-host LLMs, image generators, audio transcription, and text-to-speech models with an OpenAI-compatible API — no GPU required, completely offline and private.
- 100/100
Localization Testing
nexscope-ai/eCommerce-Skills
AI-powered localization and internationalization testing skill for e-commerce sites. Designs multi-language QA frameworks, currency validation checks, shipping info verification, and regional compliance audits.
- 100/100
localization-readiness
MicrosoftDocs/cloud-adoption-framework
Prepares content for global translation by flagging idioms and cultural references. Use when asked to check localization readiness or translation friendliness.
- 100/100
localization-strategy
kostja94/marketing-skills
When the user wants to plan or implement localization strategy for multilingual and global growth. Also use when the user mentions "localization," "multilingual," "i18n," "global expansion," "market entry," "localization strategy," "hreflang," "multi-language SEO," or "international SEO." For translation workflow, glossary, and style guide, use translation.
- 100/100
localizations
github/dev-days
A skill that localizes contents into given locales.
- 100/100
localize
pixel-cellar/Claude-Code-Game-Studios
运行本地化工作流:提取字符串、验证本地化就绪状态、检查硬编码文本,并生成可供翻译的字符串表。
- 100/100
localize-campaign
indranilbanerjee/digital-marketing-pro
Localize campaigns for multiple markets. Use when: translating assets, adapting references, adjusting compliance.
- 100/100
Localizing Variables
obra/clank
Declare variables in smallest possible scope, initialize close to first use, minimize span and live time
- 100/100
locational-marginal-prices
elizaOS/eliza
Extract locational marginal prices (LMPs) from DC-OPF solutions using dual values. Use when computing nodal electricity prices, reserve clearing prices, or performing price impact analysis.
- 100/100
locus-to-gene-mapper-skill
openai/plugins
Map GWAS loci to ranked candidate genes using a deterministic multi-skill chain (EFO -> GWAS -> coordinates -> Open Targets L2G/coloc -> eQTL -> burden/coding context), with reproducible tables and optional figures. Use when a user provides a trait/EFO term and/or lead variants and needs locus-to-gene prioritization for downstream biology decisions.
- 100/100
locust
TerminalSkills/skills
When the user wants to perform load testing using Python with Locust's distributed architecture and real-time web UI. Also use when the user mentions "locust," "Python load testing," "distributed load test," "locust web UI," or "locustfile." For JavaScript-based load testing, see k6 or artillery.
- 100/100
lod-pipeline
arjun988/blender-skills
Dedicated LOD generation, naming, screen-size targets, and validation for game meshes in Blender via MCP.
- 100/100
lodgify-automation
ComposioHQ/awesome-claude-skills
"Automate Lodgify tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
loesungsschemata
Klotzkette/claude-fuer-deutsches-recht
Stellt klassische Lösungsschemata für die deutsche Juristenklausur bereit — Anspruchsprüfung, Verbrechensaufbau, Grundrechtsprüfung, Verhältnismäßigkeit, Klageart-Bestimmung, EBV, Bereicherung, GoA, c.i.c., culpa-Strukturen. Mit ehrlichem Disclaimer: Schemata sind dogmatisch nicht zwingend, können aber das Verständnis tragen. Lädt, wenn der Nutzer „Schema BGB\", „Schema StGB\", „Anspruchsprüfung Aufbau\", „Verbrechensaufbau\", „Grundrechtsschema\" oder „brauche ich Schemata\" sagt.
- 90/100
Log Analysis & SIEM Integration
Masriyan/Claude-Code-CyberSecurity-Skill
Security log parsing, anomaly detection, SIEM query building, Sigma rule creation, and correlation rule development across Splunk, Elastic, QRadar, and Microsoft Sentinel
- 100/100
log-activity
aAAaqwq/AGI-Super-Team
Log activity to activities.csv
- 80/100
log-activity
anthropics/knowledge-work-plugins
Log a call, meeting, or email exchange to the CRM after the fact as a completed activity on the right account, opportunity, and contact - drafted from your description or a transcript, shown with its sources and saved when you ask. Use when the user says "log this call", "log my meeting with [account]", "log that I emailed [contact]", "track this conversation in the CRM", or "what activities are logged on [account]".
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