Discover
Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
majiayu000/claude-skill-registry Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas | Skills | |
thedotmack/claude-mem Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions. | Skills | |
joelhooks/joelclaw Create new joelclaw skills with the idiomatic process — repo-canonical, symlinked, git-tracked, slogged. Triggers on 'add a skill', 'create skill', 'new skill', 'canonical skill', 'make a skill for', or any request to formalize a process or domain into a reusable skill. | Skills | |
v0.1.1 Ground truth for Shelly Duo GU10 RGBW smart bulb (Gen1): LAN HTTP REST contract, mDNS discovery (with the non-loopback-IPv4-bind gotcha), color/temp endpoints, off semantics, latency expectations. Language-agnostic facts; Kotlin/Ktor reference example. Contains: shelly-duo-gu10-control Controls Shelly Duo GU10 RGBW smart bulbs (Gen1) over LAN HTTP REST. Includes mDNS discovery (with the critical 'bind to non-loopback IPv4' gotcha), color/temperature/off endpoints, status probe, and the 0.2s min-interval for LAN debounce. Use when the user wants to control a Shelly bulb directly without their cloud (Gen1 Shelly Color, Shelly Duo, Shelly RGBW2 share most of this contract), do mDNS discovery on a JVM, or build a low-latency IoT pipeline against a local Shelly device. | SkillsRules | |
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 | |
getsentry/sentry Guide for adding notifications, custom renderers, or new providers to Sentry's NotificationPlatform. Use when asked to "add notification", "new notification", "notification platform", "send notification", "notification template", "notification renderer", "notification provider", "NotificationPlatform", "notify user", "send email notification", "send slack notification". | Skills | |
getsentry/sentry Set up and manage the Sentry development environment using devenv. Handles fresh setup, updating existing environments, starting dev services, resetting the database, per-worktree environment setup (each worktree needs its own devenv sync/.venv), and troubleshooting. Use when asked to "set up sentry", "setup dev environment", "get sentry running", "start dev server", "devenv setup", "devservices not working", "sentry won't start", "reset the database", "new worktree venv/devenv setup", or any development environment issue. | Skills | |
roboflow/computer-vision-skills Use when uploading images, labeling, organizing datasets, creating Roboflow projects (detection/segmentation/keypoint/classification), tags, splits, versions, or RoboQL search. | Skills | |
sanjay3290/ai-skills Manage Jira issues and Confluence wiki pages in Atlassian Cloud. Use when: (1) searching/creating/updating Jira issues with JQL, (2) searching/reading/creating Confluence pages with CQL, (3) managing Jira workflows, transitions, and comments, (4) browsing Confluence spaces and page hierarchies. Supports OAuth 2.1 via MCP server (recommended) or API token authentication (fallback). | 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 | |
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. Use when a single requirement spans several independently testable capabilities and needs decomposing into a capability map of modules before specifying. | Skills | |
elastic/elastic-ramen Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. | Skills | |
secondsky/claude-skills React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs. | Skills | |
deepgram/deepgram-js-sdk Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Management APIs for projects, API keys, members, invites, requests, usage, billing, models, and agent think-model discovery. Covers `client.manage.v1.*` plus `client.agent.v1.settings.think.models.list()`. Use `deepgram-js-voice-agent` when you want to run an agent live rather than administer projects or inspect models. Triggers include "management API", "list projects", "API keys", "members", "invites", "usage stats", "billing", "list models", and "manage.v1". | 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 | |
ArabelaTso/Skills-4-SE Translate C or C++ programs into equivalent Lean4 code, preserving program semantics and ensuring the generated code is well-typed, executable, and can run successfully. Use when the user asks to convert C/C++ code to Lean4, port C/C++ programs to Lean4, translate imperative code to functional Lean4, or create Lean4 versions of C/C++ algorithms. | Skills |
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