Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
jeremylongshore/claude-code-plugins-plus-skills Create webhook endpoints with signature verification, retry logic, and payload validation. Use when receiving and processing webhook events. Trigger with phrases like "create webhook", "handle webhook events", or "setup webhook handler". | Skills | |
jeremylongshore/claude-code-plugins-plus-skills Build secure API authentication systems with OAuth2, JWT, API keys, and session management. Use when implementing secure authentication flows. Trigger with phrases like "build authentication", "add API auth", or "secure the API". | Skills | |
microsoft/azure-skills Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection. | Skills | |
secondsky/claude-skills Implements standardized API error responses with proper status codes, logging, and user-friendly messages. Use when building production APIs, implementing error recovery patterns, or integrating error monitoring services. | Skills | |
softaworks/agent-toolkit Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits) | Skills | |
OpenRoster-ai/awesome-agents Trains and fine-tunes ML models, builds data preprocessing and feature engineering pipelines, deploys models as REST APIs, integrates inference into production applications, and designs RAG and LLM-powered systems. Covers MLOps workflows including experiment tracking, drift detection, retraining triggers, and A/B testing. Use when the user asks about training or fine-tuning a model, building ML pipelines, model serving or inference optimization, evaluating model performance, working with frameworks like PyTorch, TensorFlow, scikit-learn, or Hugging Face, setting up vector databases, prompt engineering, or taking an ML prototype to production. | Skills | |
microsoft/github-copilot-for-azure Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection. | Skills | |
fernandezbaptiste/claude-code-skills Strategic guide for becoming an effective GitHub contributor. Covers opportunity discovery, project selection, high-quality PR creation, and reputation building. Use when looking to contribute to open-source projects, building GitHub presence, or learning contribution best practices. | Skills | |
affaan-m/everything-claude-code React、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。 | Skills | |
semgrep/skills Run Semgrep static analysis scans and create custom detection rules. Use when asked to scan code with Semgrep, find security vulnerabilities, write custom YAML rules, or detect specific bug patterns. IMPORTANT: Also use this skill when users ask to 'scan for bugs', 'check code quality', 'find vulnerabilities', 'static analysis', 'lint for security', 'audit this code', or want to enforce coding standards — even if they don't mention Semgrep by name. Semgrep is the right tool for pattern-based code scanning across 30+ languages. | Skills | |
iterorganization/imas-codex How to manage imas-codex services (Neo4j graph, embedding server, LLM proxy, SSH tunnels). Use when starting, stopping, checking status, or troubleshooting services. | Skills | |
jeremylongshore/claude-code-plugins-plus-skills Troubleshoot and respond to Langfuse-related incidents and outages. Use when experiencing Langfuse outages, debugging production issues, or responding to LLM observability incidents. Trigger with phrases like "langfuse incident", "langfuse outage", "langfuse down", "langfuse production issue", "langfuse troubleshoot". | Skills | |
headout/pm-os-marketplace The Idea Generator is the brainstorming specialist for Headout's PM OS. Engage after a Problem Frame is complete — or directly when a PM has a clear problem statement and wants to explore the solution space rigorously before committing to a direction. Acts as a high-fidelity thought partner: builds deep context through a multi-round interview (current state, constraints, prior attempts, platform nuances), maps the solution space into 2-4 strategic themes before generating any ideas, then produces specific ideas within each theme. Trigger for: "what are the ways we could solve this", "brainstorm approaches to X", "what should we build for this problem", "explore the solution space", "I have a problem frame and want ideas", "ideate on this", "what directions could we go", or any request to generate solution directions after a problem has been framed. Output: a structured Idea Brief. | Skills | |
Revise a SPEC or EPIC PR based on review feedback and push an update. Use when a routine fires on a PR being labelled `ai:revise-now`, or when a user asks to "revise spec PR #NNN" / "revise epic PR #NNN" interactively. Non-interactive — reads every unresolved review comment + inline comment + the current SPEC/EPIC file, rewrites it, pushes to the same branch, and posts a one-line summary comment pointing at the diff. Contains: revise-spec Revise a SPEC or EPIC PR based on review feedback and push an update. Use when a routine fires on a PR being labelled `ai:revise-now`, or when a user asks to "revise spec PR #NNN" / "revise epic PR #NNN" interactively. Non-interactive — reads every unresolved review comment + inline comment + the current SPEC/EPIC file, rewrites it, pushes to the same branch, and posts a one-line summary comment pointing at the diff. | Skills | |
Error handling for Go HTTP servers — structured error responses, error wrapping, Contains: go-error-handling Production error handling patterns that must be included from day one in any Go HTTP server. Apply whenever building, extending, or scaffolding a Go backend -- even if the task only asks for routes or CRUD endpoints. These patterns prevent panic crashes, inconsistent error formats, swallowed errors, and dropped connections on deploy. Works with net/http, Chi, Gin, and Echo. | Skills | |
Turn labeled LLM failure traces from an Arize Phoenix project into runnable pytest regression tests using the phoenix2pytest pipeline. Use when the user has an LLM application emitting OpenInference spans to Phoenix and wants a regression suite from real production failures, when extracting test cases from observed LLM bugs (hallucination, format break, off-topic drift, stale data, wrong reasoning, refusal bug), when bridging Phoenix-labeled traces into pytest-based suites for CI, when the user mentions Arize Phoenix MCP, OpenInference instrumentation, LLM observability, Gemini test synthesis, Vertex AI agent evaluation, or wants to react to LLM failures rather than predict them upfront. Contains: phoenix2pytest Turn labeled LLM failure traces from an Arize Phoenix project into runnable pytest regression tests using the phoenix2pytest pipeline. Use when the user has an LLM application emitting OpenInference spans to Phoenix and wants a regression suite from real production failures, when extracting test cases from observed LLM bugs (hallucination, format break, off-topic drift, stale data, wrong reasoning, refusal bug), when bridging Phoenix-labeled traces into pytest-based suites for CI, when the user mentions Arize Phoenix MCP, OpenInference instrumentation, LLM observability, Gemini test synthesis, Vertex AI agent evaluation, or wants to react to LLM failures rather than predict them upfront. | Skills | |
camunda/camunda Generate a health report for scheduled GitHub Actions workflows in this monorepo. Use when asked about scheduled workflow health, nightly build failures, flaky CI, or workflow ownership. | Skills | |
HHS/OPRE-OPS Create a GitHub pull request with the project's PR template fully populated. Analyzes the branch diff, fills in "What changed", "Issue", "How to test", "A11y impact", "Definition of Done", and other sections. Use this skill whenever the user wants to create a PR, open a pull request, submit their branch for review, or says things like "make a PR", "open a PR", "submit this for review", or "I'm ready to create a pull request" — even if they don't use the exact phrase "pull request". | Skills | |
cognitedata/builder-skills MUST be used whenever fixing security issues in a Flows app, or before shipping any feature that handles credentials, user input, or external data. This skill finds AND fixes security problems — it does not just report them. Do NOT skip this when the user asks for a security fix, security hardening, or vulnerability remediation — run every step in order. Triggers: security, security fix, security hardening, vulnerability, XSS, injection, credentials, secrets, auth, authentication, authorization, token, sensitive data, input validation, CORS, CSP, dependency audit. | Skills | |
sickn33/antigravity-awesome-skills Generate structured PR descriptions from diffs, add review checklists, risk assessments, and test coverage summaries. Use when the user says "write a PR description", "improve this PR", "summarize my changes", "PR review", "pull request", or asks to document a diff for reviewers. | Skills |
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