Discover skills
Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
HTTP caching for web APIs — Cache-Control headers, ETags, conditional requests, Contains: http-caching-strategy HTTP caching for web APIs — Cache-Control headers, ETags, conditional requests, Vary header, and no-store for sensitive data. Apply AUTOMATICALLY whenever building any API endpoint that serves data — do not wait to be asked. | Skills | |
v0.1.0 Creates, structures, and reviews technical documentation following the Diátaxis framework (tutorials, how-to guides, reference, and explanation pages). Use when a user needs to write or reorganize docs, structure a tutorial vs. a how-to guide, build reference docs or API documentation, create explanation pages, choose between Diátaxis documentation types, or improve existing documentation structure. Trigger terms include: documentation structure, Diátaxis, tutorials vs how-to guides, organize docs, user guide, reference docs, technical writing. Contains: documentation Creates, structures, and reviews technical documentation following the Diátaxis framework (tutorials, how-to guides, reference, and explanation pages). Use when a user needs to write or reorganize docs, structure a tutorial vs. a how-to guide, build reference docs or API documentation, create explanation pages, choose between Diátaxis documentation types, or improve existing documentation structure. Trigger terms include: documentation structure, Diátaxis, tutorials vs how-to guides, organize docs, user guide, reference docs, technical writing. | Skills | |
Knowledge base for architecture patterns, trade-offs, and selection criteria. Activates when recommending or evaluating architecture patterns like microservices, monolith, serverless, event-driven, CQRS, or hybrid approaches. Contains: architecture-patterns Knowledge base for architecture patterns, trade-offs, and selection criteria. Activates when recommending or evaluating architecture patterns like microservices, monolith, serverless, event-driven, CQRS, or hybrid approaches. | Skills | |
Automated pipeline that takes a company name and produces a custom Tessl skill plus an eval report showing per-scenario lift (baseline agent vs with-skill agent). A1 MVP cell of the produce/consume × personalization 2x2. Contains: batch-driver Run the A1 pipeline (produce-mode discovery → auto-selection → build-and-evaluate) across a CSV of company names. Drives the full pipeline unattended for booth-scale runs (~100 leads), sharing a single DISCOVERY_RUN_TS so all per-company outputs land in one diffable run directory. After completion, emits a per-batch `index.md` summarizing outcomes (BUILD/SKIP/AMBIGUOUS counts, aggregate lift across BUILDs, links to per-company reports). Trigger phrases — "run the batch driver on a CSV", "process the attendee list", "batch-pipeline the snyk leads", "A1 batch run on a CSV of company names". build-and-evaluate Steps 4–10 of the workflow — takes a selection.json produced by `select-target` and runs the full skill-build + eval + report pipeline. Scaffolds a skill via `tessl skill new`, authors its body for the selected target, generates eval scenarios via `tessl scenario generate`, audits them for bleeding/leaking, runs `tessl skill review --threshold 85` as a quality gate, runs `tessl eval run --variant without-context --variant with-context` to get baseline + with-skill scores in one call, parses the result, computes per-scenario lift, analyzes gaps, and writes a markdown report alongside the discovery / selection artifacts. End-to-end output for the A1 MVP cell of the operating-modes 2x2 in `SPEC.md`. Trigger phrases — "build the skill", "run phases 4-10", "build-and-evaluate", "generate and evaluate the skill for a given company slug". company-list-filter Triage a raw list of company names (conference attendees, prospect lists, sales lists) before running the discovery pipeline. Classifies each company into seven buckets and returns a focused candidate list of companies whose discovery is likely to yield a usable skill target. Use whenever the user provides a list of more than a handful of company names and needs to decide which deserve discovery effort. Trigger phrases — "filter this list", "triage these companies", "pre-discovery filter", "narrow the conference list". discovery-produce Produce-mode automated source discovery for a single company (steps 1–2 of the workflow, A1 cell of the operating-modes 2x2 in `SPEC.md`). Takes a company name (optionally `parent/sub-brand` for MEGA_CORP cases that have been pre-scoped) and produces a discovery JSON conforming to `discovery-output-contract.md` — schema_version 3, mode=produce. Targets the company external/public API/SDK surface — what an outside developer would consume — rather than the internal dogfood surfaces consume-mode targets. Output is the input to step 3 (human-gated target selection). Trigger phrases: "run produce-mode discovery on X", "discover external API surface for X", "A1 discovery on X", "produce a produce-mode discovery JSON for X". discovery Automated source discovery and structure extraction for a single company (steps 1–2 of the workflow in `SPEC.md`). Takes a company name (optionally `parent/sub-brand` for MEGA_CORP cases that have been pre-scoped), produces a JSON artifact conforming to `discovery-output-contract.md`, and writes it to a versioned per-run directory. Output is the input to step 3 (human-gated target selection). Trigger phrases — "run discovery on X", "discover sources for X", "produce a discovery JSON for X". select-target Step 3 of the workflow — human-gated target selection from a discovery.json. Reads a discovery output, presents ranked skill_targets to the human (sorted by booth-aha score for consume-mode v2 and v3+consume, by raw confidence for v1 and produce-mode v3), accepts a single pick, and persists a selection.json alongside the discovery file. The only manual step in the pipeline per `SPEC.md`. Trigger phrases — "pick a target", "select skill target", "human-gate selection", "step 3 selection", "run selection on a company slug". | Skills | |
addyosmani/agent-skills Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when requirements are unclear, ambiguous, or only exist as a vague idea. | Skills | |
stripe/ai Guide for upgrading Stripe API versions and SDKs | Skills | |
stripe/ai Guide for upgrading Stripe API versions and SDKs | Skills | |
stripe/ai Guide for upgrading Stripe API versions and SDKs | Skills | |
ivan-magda/claude-superpowers Use when writing or enhancing Swift documentation comments for DocC generation, adding inline doc comments to Swift source files, or when user asks for API documentation | Skills | |
vercel/vercel-plugin Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider. | Skills | |
dominodatalab/domino-claude-plugin Build Domino-styled web applications matching the Domino Design System. Use when creating or styling Domino apps (Dash, Streamlit, Flask, FastAPI+HTML), generating UI components, reviewing UX, or when the user mentions "Domino app", "Domino UI", "Domino dashboard", or "Domino design system". Covers the full stack — FastAPI backend, Ant Design 5.x frontend via CDN, Domino theme tokens (colors, typography, spacing), chart styling with Highcharts, Domino API authentication, proxy-safe routing, UX writing, error handling, empty states, form design, table patterns, and layout best practices. Also use for UX reviews of existing Domino app screenshots. | Skills | |
NeverSight/skills_feed Sync a feature branch onto the latest origin base branch via git rebase, with safety rails, deliberate conflict resolution, and safe force-with-lease pushing. | Skills | |
jeremylongshore/claude-code-plugins-plus-skills Configure Customer.io local development workflow. Use when setting up local testing, dev/staging isolation, or mocking Customer.io for unit tests. Trigger: "customer.io local dev", "test customer.io locally", "customer.io dev environment", "customer.io sandbox", "mock customer.io". | Skills | |
jeremylongshore/claude-code-plugins-plus-skills Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals". | Skills | |
jeremylongshore/claude-code-plugins-plus-skills Track cryptocurrency portfolio with real-time valuations, allocation analysis, and P&L tracking. Use when checking portfolio value, viewing holdings breakdown, analyzing allocations, or exporting portfolio data. Trigger with phrases like "show my portfolio", "check crypto holdings", "portfolio allocation", "track my crypto", or "export portfolio". | Skills | |
Jamie-BitFlight/claude_skills Add automated documentation updater to any Claude skill. Creates a Python sync script that downloads upstream docs, processes markdown for AI consumption, and maintains local cache with configurable refresh. Collects template variables, then delegates implementation through 5-phase workflow. Use when adding auto-updating reference documentation to plugins or skills. | Skills | |
santosomar/ethical-hacking-agent-skills Performs authorized security assessment of embedded and IoT devices across hardware, firmware, interfaces, and update mechanisms. Use when testing device boot flows, debug interfaces, firmware integrity, and local/network attack surfaces. | Skills | |
samber/cc-skills-golang Golang concurrency patterns. Use when writing or reviewing concurrent Go code involving goroutines, channels, select, locks, sync primitives, errgroup, singleflight, worker pools, or fan-out/fan-in pipelines. Also triggers when you detect goroutine leaks, race conditions, channel ownership issues, or need to choose between channels and mutexes. | Skills | |
ArabelaTso/Skills-4-SE Extract abstract mathematical models from imperative code (C, C++, Python, Java, etc.) suitable for formal reasoning in Coq. Use when the user asks to model imperative code in Coq, create Coq specifications from imperative programs, extract mathematical models for verification, or translate imperative algorithms to Coq for formal reasoning and proof. | Skills | |
ArabelaTso/Skills-4-SE Conduct comprehensive code reviews identifying bugs, security issues, performance problems, code quality concerns, and best practice violations. Use when reviewing pull requests, examining code changes, evaluating new code, assessing code quality, or providing feedback on implementations. Analyzes code for correctness, security vulnerabilities, performance bottlenecks, maintainability issues, test coverage, documentation quality, and adherence to coding standards. Produces structured markdown reviews with categorized findings, severity ratings, specific examples, and actionable recommendations. Triggers when users ask to review code, check pull requests, evaluate implementations, find bugs, or assess code quality. | Skills |
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