Discover
Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
PostgreSQL patterns for Node.js with pg — connection pooling, parameterized Contains: postgresql-node-best-practices PostgreSQL best practices that must be applied by default in every Node.js application using the pg client. Covers connection pooling with production settings, parameterized queries, transactions, BIGINT/NUMERIC type handling, PostgreSQL error code handling, bulk inserts with unnest, and production hardening (SSL, keepAlive, graceful shutdown). Always apply these patterns when creating or modifying any Node.js service that connects to PostgreSQL. | Skills | |
Mongoose and MongoDB patterns — schema design, validation, indexes, virtuals, Contains: mongoose-best-practices Mongoose and MongoDB patterns — schema design, validation, indexes, virtuals, middleware, population, lean queries, transactions, and pagination. Use when building or reviewing apps with MongoDB and Mongoose, when designing document schemas, or when migrating from SQL to MongoDB. | Skills | |
Pytest patterns for Python APIs -- httpx AsyncClient, conftest fixtures, database isolation, parametrize edge cases, error response testing, auth flows, factory fixtures Contains: pytest-api-testing Pytest patterns for testing Python APIs (FastAPI, Flask). Covers httpx AsyncClient setup, conftest.py fixture organization, fixture scoping, parametrize for edge cases, factory fixtures, database isolation, testing error responses and auth flows. Triggers when writing tests for any Python web API, adding test coverage, or building a new API that needs tests. | Skills | |
Use when a debugging thread needs to be compressed into a reusable investigation ledger. Capture the target, evidence, attempted fixes, ruled-out hypotheses, viable hypotheses, and next experiments. Good triggers include "compact this debugging session", "summarize what we've tried", and "turn this into a debugging ledger". Contains: compact-debug-ledger Use when a debugging thread needs to be compressed into a reusable investigation ledger. Capture the target, evidence, attempted fixes, ruled-out hypotheses, viable hypotheses, and next experiments. Good triggers include "compact this debugging session", "summarize what we've tried", and "turn this into a debugging ledger". | Skills | |
mckinsey/vizro Use this skill first when the user wants to design or plan a dashboard, especially Vizro dashboards. Enforces a 3-step workflow (requirements, layout, visualization) before implementation. Activate when the user asks to create, design, or plan a dashboard. For implementation, use the dashboard-build skill after completing Steps 1-3. | Skills | |
jeffallan/claude-skills Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering. | Skills | |
Jeffallan/claude-skills Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering. | Skills | |
haydenbleasel/ultracite Ultracite is a zero-config linting and formatting preset for JavaScript/TypeScript projects. Use when: (1) Setting up or initializing Ultracite in a project (ultracite init), (2) Running linting or formatting commands (check, fix, doctor), (3) Writing or reviewing JS/TS code in a project that uses Ultracite — to follow its code standards, (4) Troubleshooting linting/formatting issues, (5) User mentions 'ultracite', 'lint', 'format', 'code quality', or 'biome/eslint/oxlint' in a project with Ultracite installed. | Skills | |
joelhooks/joelclaw Ingest PDF/Markdown/TXT files into joelclaw's docs memory pipeline with Inngest durability, durable NAS artifacts, and OTEL verification. Use when adding docs, running batch reindex, reconciling coverage, or recovering stuck runs. Triggers on: 'ingest pdf', 'ingest markdown', 'docs add', 'pdf-brain ingest', 'backfill books', 'docs reconcile', 'reindex docs', 'batch reindex'. | Skills | |
ghostsecurity/skills Scans directory structure, detects projects, maps dependencies, and documents code organization into a repo.md file. Use when the user needs a codebase overview, project structure map, or repository context before security analysis. | Skills | |
anthropics/cwc-workshops Guide a workshop attendee through committing their starter-agent decomposition and opening a PR with their solution + workshop feedback. Invoke when the user says "submit", "I'm done", "open a PR", or asks how to share their solution. | Skills | |
Interactive discovery interview → structured product spec. Triggers: spec, PRD, requirements, scoping, brainstorming, new project. Uses AskUserQuestion; WebSearch/WebFetch when user wants research. Outputs user stories, acceptance criteria, constraints. Contains: discovery-interview Conduct an interactive discovery interview to produce a structured product specification. Triggers: write a spec, PRD, feature spec, requirements, product requirements, scope a project, brainstorm a feature, flesh out an idea, plan a new project. Uses AskUserQuestion for all user choices; WebSearch/WebFetch when the user wants research. Outputs: user stories, acceptance criteria, technical constraints, prioritized requirements in docs/specs/ per SPEC_TEMPLATE.md. Do NOT use for: implementation, code review, debugging, refactors, or when the user already has a complete spec they only want edited. | Skills | |
v0.1.1 Context tile for pidge notification library v3 - async API with NotificationClient, Message, and dispatch pattern Contains: pidge-integration Configures NotificationClient handlers, implements async dispatch workflows, and handles DispatchError failures for the pidge v3 notification library in async Python services. Use when working with pidge, pidge v3, pidge notifications, NotificationClient, async notifications, or pidge integration — including setting up API keys, dispatching messages, and handling delivery errors. | SkillsDocsRules | |
v0.1.4 A curated collection of Agent Skills for working with PYXLL, to help AI agents write and understand code using the PyXLL Excel add-in. Contains: fetch-pyxll-docs Fetch the PyXLL documentation and use it as context for any task involving PyXLL. Invoke automatically before writing, editing, reviewing, or debugging any PyXLL code, and for release notes, changelog, or version history lookups. Training-data knowledge of PyXLL is incomplete and may be wrong — the live docs are the only authoritative source. office-customui-xsd Reference for the Office CustomUI XML schema used to define Excel ribbon toolbars and context menus. Use this skill whenever writing, editing, reviewing, or debugging customUI XML — including ribbon tabs, groups, buttons, dropdowns, galleries, menus, context menus, the QAT, or the Backstage. Also use when working with PyXLL ribbon configuration. Training-data knowledge of the schema is incomplete and can produce invalid XML — the schema and these docs are the authoritative source. pywin32-excel-docs Reference for the Microsoft Excel COM API via pywin32. Use this skill whenever writing or reviewing Python code that interacts with Excel using the Excel COM API via win32com, pywin32, or the PyXLL add-in — including code that calls pyxll.xl_app() or XLCell.to_range() — and when working with workbooks, worksheets, ranges, formatting, charts, pivot tables, shapes, and Excel constants. | Skills | |
intellectronica/agent-skills Convert documents and files to Markdown using markitdown. Use when converting PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx, .xls), HTML, CSV, JSON, XML, images (with EXIF/OCR), audio (with transcription), ZIP archives, YouTube URLs, or EPubs to Markdown format for LLM processing or text analysis. | Skills | |
softaworks/agent-toolkit Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits. | Skills | |
softaworks/agent-toolkit Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits. | Skills | |
fluxcd/agent-skills Audit and validate Flux CD GitOps repositories by scanning local repo files (not live clusters) — runs Kubernetes schema validation, detects deprecated Flux APIs, reviews RBAC/multi-tenancy/secrets management, and produces a prioritized GitOps report. Use when users ask to audit, analyze, validate, review, or security-check a GitOps repo. | Skills | |
a-pavithraa/springboot-skills-marketplace Reviews Java 25 and Spring Boot 4 codebases, pull requests, files, and modules for migration risks, architecture boundary violations, JSpecify null-safety issues, security flaws, performance regressions, and Spring Data pitfalls. Use when the task is a concrete Java or Spring code review with code context. Do not use for Kotlin-only code, non-Spring frameworks, or generic review advice without files or diffs. | Skills | |
ghostsecurity/skills Ghost Security — combined security report. Aggregates findings from all scan skills (scan-deps, scan-secrets, scan-code) into a single prioritized report focused on the highest risk, highest confidence issues. Use when the user requests a security overview, vulnerability summary, full security audit, or combined scan results. | Skills |
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