Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
meshtastic/Meshtastic-Android Run the mandatory pre-push baseline verification for Meshtastic-Android — bootstrap, then spotlessApply/spotlessCheck/detekt/detektTypeResolved/assembleDebug/test/allTests (plus kmpSmokeCompile and sort-strings when relevant) via the gradle-runner subagent, restore the host-render screenshot diff, and report a single pass/fail. Use before every push. This is the check CI fails on when skipped. | Skills | |
microsoft/vscode Use when writing, recording, updating, validating, or troubleshooting Agent Host end-to-end and real-provider integration tests under src/vs/platform/agentHost/test/node/e2e and providerIntegration. Covers adding a cross-provider test, re-recording fixtures after an SDK bump, required cross-platform Azure validation, gating non-deterministic or platform-specific tests, and diagnosing replay cache misses. | Skills | |
pollinations/pollinations Add Bring Your Own Pollen (BYOP) sign-in to an app so each user pays with their own Pollen instead of the app's key. Use when building an app, CLI, extension or agent tool on Pollinations and you need the user-authorized sk_ key, when you must choose between the OAuth code flow, the fragment flow and the device flow, or when an app key's usage must be attributed and monetized. | Skills | |
ArcReel/ArcReel Try to break a piece of UI by feeding it worst-case data — long names, unbreakable emails, one-letter names, missing fields, huge counts, zero items, long labels, non-Latin text, emoji, extreme numbers — then render it behind a "Demo data / Worst case" toggle and report everything that broke, with the fix for each. Use when the user asks to stress-test, break, or find edge cases in a component or screen, or to "try the worst case". For visual design critique use emil-design-eng; for motion use review-animations. | Skills | |
emilkowalski/skills Try to break a piece of UI by feeding it worst-case data — long names, unbreakable emails, one-letter names, missing fields, huge counts, zero items, long labels, non-Latin text, emoji, extreme numbers — then render it behind a "Demo data / Worst case" toggle and report everything that broke, with the fix for each. Use when the user asks to stress-test, break, or find edge cases in a component or screen, or to "try the worst case". For visual design critique use emil-design-eng; for motion use review-animations. | Skills | |
ArcReel/ArcReel React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements. | Skills | |
thinking-machines-lab/tinker-cookbook Conduct post-training research for LLMs using the Tinker API — replicate paper results, explore new training ideas, run and monitor experiments, and document findings. Use this skill whenever the user wants to do research, replicate experiments from a paper or repo, investigate training hypotheses, run experiment sweeps, explore post-training techniques (SFT, RL, DPO, distillation, etc.), set up training, write training code, choose a model, tune hyperparameters, manage checkpoints, export weights, or analyze training logs — even if they just say "try this idea" or "let's see what happens if...". | Skills | |
Awarexone/Agentic-Bug-Hunter Argus — the all-seeing scanner suite. Six automated scanners for high-value web + LLM bug classes — CORS misconfiguration (origin reflection / null / credentialed read), CRLF & host-header injection, NoSQL injection (operator auth-bypass / $where blind), JWT attacks (alg:none / RS256→HS256 confusion / secret crack), out-of-band confirmation of blind SSRF/XXE/SQLi/RCE/Log4Shell via interactsh, and an LLM red-team corpus (prompt-injection / jailbreak / system-prompt leak / exfil / indirect injection). Use when a target exposes a JSON API, a login endpoint, JWT auth, a parameter that might reach the server, a chatbot/agent, or any endpoint suspected of a blind/out-of-band bug. | Skills | |
AI Unified Process persistence layer with Spring Data JPA - entities, repositories, and repository tests Contains: jpa-persistence Implements the persistence layer of a use case (UC-XXX) with Spring Data JPA and Hibernate: @Entity classes mapped onto the Flyway schema (ddl-auto=validate, never create or update), Spring Data JpaRepository interfaces, derived and @Query queries, interface and record projections, attribute converters, fetch joins and entity graphs against N+1 selects, and @Version optimistic locking. Detects a flat single-module or a hexagonal multi-module backend; in the hexagonal case it writes the persistence adapter and the outbound port it implements. No Lombok. Use when the user asks to "write the JPA entities", "create the repository for UC-001", "implement the persistence layer", "map the table to an entity", "fix the N+1 query", or mentions Spring Data JPA, Hibernate, @Entity, JpaRepository, or a persistence adapter. Normally run by /use-case-implement as the Persistence layer; it can also be run directly. jpa-persistence-test Writes the persistence tests of a use case (UC-XXX) for Spring Data JPA: @DataJpaTest classes against a real database in a Testcontainers container (never H2 unless the project already tests on it), test data from Flyway test migrations, one UC<id><Name>RepositoryTest class per use case with @UseCase annotations. Tests only queries with logic of their own — filters, joins, projections, paging, fetch joins, custom @Query and Specification queries, attribute converters — and says so when the use case has none. In a hexagonal backend it tests through the persistence adapter in the adapter module. Use when the user asks to "test the repository", "write a @DataJpaTest", "test the JPA query of UC-001", "write persistence tests", or mentions DataJpaTest, repository tests, or Testcontainers for Spring Data JPA. /use-case-test runs it only to reconcile existing tests, for queries the integration layer cannot reach, or when the persistence layer is named; it can also be run directly. | SkillsRules | |
AI Unified Process UI layer for Angular - standalone components, signals, HttpClient services, Vitest component tests Contains: angular-ui Implements the UI layer of a use case (UC-XXX) as an Angular client: standalone page and presentational components, signal() state, one hand-written HttpClient service per entity with TypeScript models that match the API layer's DTOs field by field, and routes in app.routes.ts. Consumes the Handover of the API layer (endpoints, DTOs) and checks the JSON contract against it. Use when the user asks to "build the Angular page", "implement the UI of UC-001", "create the Angular component", "wire the frontend to the REST API", or mentions Angular, standalone components, signals, or an Angular client calling a backend. Normally run by /use-case-implement as the UI layer of a project whose docs/architecture/stack.md names Angular; it can also be run directly. Does not write tests — that is /angular-ui-test. angular-ui-test Writes the UI-layer tests of a use case (UC-XXX) for an Angular client with Vitest and Angular's own testing idioms: TestBed component tests for the routed page, HttpTestingController for the API boundary, DI overrides for non-HTTP services, and plain service tests — in UC-XXX-<slug>.spec.ts files with a describe('UC-XXX: …') block. Use when the user asks to "write frontend tests", "test the Angular component", "write a Vitest test", "unit test an Angular page", "test the UI of UC-001", or mentions TestBed, ComponentFixture, or HttpTestingController. Normally run by /use-case-test as the UI test layer of a project whose docs/architecture/stack.md names Angular; it can also be run directly. Browser tests against the running application are /playwright-e2e-test. | Skills | |
guypod/carnival-factory-lab-20261022 Add a new game to the Tessl Carnival midway, following the water cannon pattern and the house rules. Use when asked to build, add or create a carnival game or booth, such as ring toss, whack-a-mole, hook a duck or high striker. | Skills | |
civitai/civitai Hide a generator ecosystem or model version from everyone except moderators — "available to moderators, hidden" — and lift that gate again; or, during a provider outage, disable it for everyone except moderators with a message users see, and enable it again. Reads and writes the same generation gate rules the /moderator/generation-config page edits. Use before a new generator model's code deploys, to remove the gate at launch, and when one generator's provider is down. Called by onboard-generator-model; usable on its own. | Skills | |
NVIDIA/OpenShell Run the weekly OpenShell release captain checklist. Monday checks the pre-release train, triages failures and the compatibility review, and drafts the coordination post. Tuesday promotes the qualified pre-release after approval, verifies publication, and starts the next train. Trigger keywords - release captain, weekly release, Tuesday release, cut the release, release checklist, pre-release status, release train, start next train, stable release. | Skills | |
AgriciDaniel/claude-seo Audit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools. Use when the user asks whether AI agents can use or browse the site, or about llms.txt or WebMCP. Exclude AI citability and brand signals (seo-geo) and commerce protocol depth (seo-ecommerce). | Skills | |
udecode/plate React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements. | Skills | |
THU-MAIC/OpenMAIC Professional editing of a course that already exists. Use when the user wants to revise, improve, restructure or polish pages the course already has — fix a page, tune a layout, repair a quiz, reword narration, reorder the deck, or raise the quality of the whole course. Not for building a new course from scratch. | Skills | |
gastownhall/beads Project conventions for writing, editing, restructuring, or reviewing the beads user documentation — the Mintlify site under docs/. Use this whenever you touch anything in docs/ (pages, concept docs, reference, integration guides, recovery runbooks, diagrams, docs.json navigation) or write/edit prose about beads, even when the request is just "fix the docs", "write a docs page", "the docs are wrong/confusing", "rename X across the docs", or an edit to a file under docs/. It defines the canonical concept model (bead → dependencies → ready work; formula → proto → molecule/wisp; gates; Dolt sync and federation), required terminology, the prose/emphasis/diagram conventions, the rule that generated docs are edited at their source, and the gates to run before docs work is done. | Skills | |
heygen-com/hyperframes Build a HyperFrames slideshow to present live - slides, fragment reveals, branching hotspots and presenter mode with speaker notes, served by `hyperframes present` - or turn an existing page into one. Use when the person wants a deck or presentation rather than a rendered video. | Skills | |
rohitg00/ai-engineering-from-scratch The shared visual and writing reference for AI Engineering from Scratch pages, figures, and manuals. Use it for light and dark colour tokens, font stacks, FIG_ label formats, and card layout. Use it for the plain technical English rules and the accessibility and reduced motion defaults. Trigger phrases: "course style", "blueprint palette", "course tokens", "FIG label", "plain technical English", "check my prose", "course fonts", "dark mode tokens" | Skills | |
rohitg00/ai-engineering-from-scratch The shared visual and writing reference for AI Engineering from Scratch pages, figures, and manuals. Use it for light and dark colour tokens, font stacks, FIG_ label formats, and card layout. Use it for the plain technical English rules and the accessibility and reduced motion defaults. Trigger phrases: "course style", "blueprint palette", "course tokens", "FIG label", "plain technical English", "check my prose", "course fonts", "dark mode tokens" | Skills |
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