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Discover and install skills to enhance your AI agent's capabilities.

AllSkillsDocsRules
NameContainsScore

frontend-design-principles

joshuadavidthomas/agent-skills

Use when building or reviewing frontend UI — dashboards, admin panels, landing pages, marketing sites, web apps. Drives domain-specific design decisions (typography, color world, layout, CSS token naming, depth and spacing systems) instead of generic AI defaults; routes to app.md (product/data UIs) or marketing.md (public/creative pages) by context.

Skills

91

1.21x

fernandezbaptiste/rails_ai_agents

Creates Rails concerns for shared behavior across models or controllers with TDD. Use when extracting shared code, creating reusable modules, DRYing up models/controllers, or when user mentions concerns, modules, mixins, or shared behavior.

Skills

91

1.05x

fernandezbaptiste/rails_ai_agents

Creates form objects for complex form handling with TDD. Use when building multi-model forms, search forms, wizard forms, or when user mentions form objects, complex forms, virtual models, or non-persisted forms.

Skills

91

1.31x

openai/skills

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

Skills

91

2.23x

foryourhealth111-pixel/Vibe-Skills

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.

Skills

91

4.57x

temporalio/ui

Instructions for running the UI against a local Temporal server build instead of the built-in CLI dev server. Use when asked how to start the dev environment, run the UI locally, or connect to a local Temporal repo.

Skills

91

1.25x

NeverSight/learn-skills.dev

Financial data from Yahoo Finance: stock/bond prices, credit analysis, macro dashboard, FX rates, ETF flows, fundamentals, and news. Use when the user asks about stock prices, bond yields, credit metrics, leverage ratios, debt/ebitda, interest coverage, macro indicators (VIX, DXY, treasury yields, oil, gold, BTC), LatAm FX (ARS, BRL, CLP, MXN, COP), ETF holdings, income statements, balance sheets, cash flow, financial news, options chains, dividend history, or analyst ratings/upgrades. Commands: yf price, yf quote, yf compare, yf credit, yf macro, yf fx, yf flows, yf history, yf fundamentals, yf news, yf search, yf options, yf dividends, yf ratings.

Skills

91

3.28x

wagneripjr/postmortem

v1.2.0

Write a production-incident postmortem that reads well for humans and stays parseable by tooling: machine-read frontmatter, a numbered spine, and strict evidence rules

Contains:

postmortem

Write a production-incident postmortem that reads well for humans and stays parseable by tooling. Produces docs/postmortems/YYYY-MM-DD-<slug>.md with machine-read YAML frontmatter (severity critical|high|medium|low), a stable H1 + filename date that together form a finding-id, and a numbered spine — executive summary, impact/blast radius with per-service evidence, timeline, root cause (mechanism + 5 whys + discarded hypotheses), empirical proof, detection, remediation (palliative vs root fix), action items, lessons learned, read-only appendices. Triggers: 'write a postmortem', 'post-incident review', 'incident record', 'document this outage', 'RCA document', or right after resolving/mitigating any production incident. NOT for reconciling a postmortem with the decision it contradicted. NOT for bug reports. NOT for live incident response.

Skills

91

1.14x

Build Quarkus applications with LangChain4j extensions - project setup, CDI services, REST endpoints, MCP, agentic, and dev mode

Contains:

quarkus-langchain4j

Build Quarkus applications with LangChain4j extensions. Use when creating Quarkus projects with AI capabilities, configuring quarkus-langchain4j extensions, using RegisterAiService, adding MCP support, agentic workflows, or Quarkus dev mode for AI apps.

Skills

91

1.71x

Maintains a persistent, interlinked markdown wiki between immutable raw sources and answers: ingest, query, lint, index and log—compounding knowledge instead of one-shot RAG.

Contains:

llm-wiki

Compiles and maintains a persistent LLM-written markdown wiki between immutable raw sources and answers—the Karpathy LLM Knowledge Base pattern. The agent writes and maintains the wiki; the human curates sources and reads it. Knowledge compounds instead of being re-derived each query. Triggers: llm wiki, persistent wiki, personal knowledge base, wiki maintenance, ingest sources, compound knowledge, index.md, log.md, Obsidian wiki, cross-references, Karpathy wiki pattern, compile wiki, knowledge base. Uses: Read, Glob, Grep, file edits, optional WebSearch, AskUserQuestion when schema or goals are ambiguous. Outputs: updated wiki pages, index, append-only log, citations on query, filed answers, visual outputs. Do NOT use for: mutating raw sources, one-off chat answers with no wiki artifact, or replacing a user-defined wiki schema without reading it first.

Skills

91

0.97x

Collect and normalize agent logs, discover installed verifiers, and dispatch LLM judges to evaluate adherence. Produces per-session verdicts and aggregated reports.

Contains:

audit-logs

Audit agent behavior by collecting logs, discovering verifiers for agent behavior, and dispatching LLM judges to evaluate rule adherence. Produces per-session verdicts and an aggregated summary. Use when you want to evaluate agent compliance, check rule adherence, or measure how well agents follow your skills and docs.

create-verifiers

Create structured verifiers (eval rubrics) from skills, docs, rules, or any instruction source. Produces checklist-based grading criteria that LLM judges can score against agent session logs. Use when you want to define tests for agent behavior, build assessment criteria, validate compliance, or check quality of agent responses.

friction-review

Detect friction points in agent sessions — errors, backtracking, user frustration, repeated failures. Dispatches haiku judges to review transcripts and produces an aggregated friction summary. Can run standalone or as part of the audit-logs pipeline.

Skills

91

3.09x

Implements OAuth 2.0/2.1 authorization flows in Fastify applications — configures authorization code with PKCE, client credentials, device flow, refresh token rotation, JWT validation, and token introspection/revocation endpoints. Use when setting up authentication, authorization, login flows, access tokens, API security, or securing Fastify routes with OAuth; also applies when troubleshooting token validation errors, mismatched redirect URIs, CSRF issues, scope problems, or RFC 6749/6750/7636/8252/8628 compliance questions.

Contains:

oauth

Implements OAuth 2.0/2.1 authorization flows in Fastify applications — configures authorization code with PKCE, client credentials, device flow, refresh token rotation, JWT validation, and token introspection/revocation endpoints. Use when setting up authentication, authorization, login flows, access tokens, API security, or securing Fastify routes with OAuth; also applies when troubleshooting token validation errors, mismatched redirect URIs, CSRF issues, scope problems, or RFC 6749/6750/7636/8252/8628 compliance questions.

Skills

91

1.40x

AI Unified Process core - stack-agnostic requirements, entity model, and use cases

Contains:

entity-model

Creates entity model documents with Mermaid.js ER diagrams and attribute tables defining entities, relationships, data types, and validation rules. Use when the user asks to "create an entity model", "design a data model", "draw an ERD", "define database schema", "model entities", or mentions entity-relationship diagram, ER diagram, database design, or data modeling. Also trigger whenever the task is to produce, write, or design an entity model or data model document (e.g. docs/entity_model.md) from a requirements catalog — including phrasings like "data model design", "the team needs an entity model before development", or a request to document entities with attributes, data types, precision, and validation or cross-attribute constraints.

requirements

Gathers, organizes, and documents software requirements into structured catalogs with functional requirements (user stories), non-functional requirements (measurable quality attributes), and constraints. Use when the user asks to "write requirements", "create a PRD", "gather requirements", "document feature specs", "write user stories", "define NFRs", "list constraints", "write a glossary", "define domain terms", or mentions requirements catalog, requirements analysis, product requirements document, feature specification, or glossary.

reverse-engineer

Reverse-engineers an existing software project into AI Unified Process artifacts: a PlantUML use case diagram, per-use-case specification documents, and an entity model with a Mermaid ER diagram. Use when the user asks to "reverse engineer this codebase", "extract use cases from existing code", "document the system we already have", "generate use case specs from controllers", "derive an entity model from the database", "create AI Unified Process artifacts from a legacy project", or mentions reverse engineering, legacy documentation, or onboarding an inherited codebase. Trigger this skill whenever a user wants to produce use cases, an ER diagram, or a use case diagram from code that already exists rather than from a fresh vision document — even if they don't say "reverse engineer" explicitly.

Skills

91

1.18x

Build real-time order tracking and delivery driver systems with PubNub

Contains:

pubnub-order-delivery-driver

Build real-time order tracking and delivery driver systems with PubNub

Skills

91

1.84x

Curated library of 38 atomic skills, 7 personas, and 1 orchestrator for Elixir and Phoenix development. Organized by category: fundamentals, phoenix, database, testing, auth, infrastructure, quality, security, integrations, tooling, frameworks, personas, and orchestration. Covers core Elixir patterns, Phoenix LiveView, Ecto, OTP, Oban, testing, security, deployment, real-time, and modern tooling (Req, Swoosh, Cachex, Broadway, Ash).

Contains:

phoenix-auth-customization

MANDATORY when extending phx.gen.auth with custom fields. Invoke before adding usernames, profiles, or custom registration fields. Covers migrations, schema updates, fixture updates, form changes, and confirmation patterns. Trigger words: phx.gen.auth, custom fields, registration, username, profile, auth customization.

phoenix-authorization-patterns

Handles all authorization and access control work in Phoenix and LiveView applications. Covers server-side authorization, owner-only patterns, scoped queries, policy modules, controller authorization, and authorization testing. Use when writing permission checks, policy modules, or role-based access controls, or when addressing authorization, access control, permission, policy, role, owner, scoped query, or IDOR concerns.

phoenix-liveview-auth

MANDATORY for ALL LiveView authentication work. Invoke before writing on_mount hooks, auth plugs for LiveViews, or session handling in LiveView modules. Covers on_mount patterns, current_scope, import conflict resolution, safe template access, and testing auth redirects. Trigger words: on_mount, LiveView auth, current_scope, session, live_session, redirect_if_authenticated.

Skills

91

1.37x

deepgram/deepgram-python-sdk

Use when writing or reviewing Python code in this repo that calls Deepgram Conversational STT v2 / Flux (`/v2/listen`) for turn-aware streaming transcription. Covers `client.listen.v2.connect(...)`, Flux models, end-of-turn detection. Use `deepgram-python-speech-to-text` for standard v1 ASR, `deepgram-python-voice-agent` for full-duplex interactive assistants. Triggers include "flux", "v2 listen", "conversational STT", "turn detection", "end of turn", "EOT", "listen.v2", "flux-general-en", "flux-general-multi".

Skills

91

1.82x

ZHangZHengEric/Sage

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Skills

91

1.54x

UnicomAI/wanwu

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Skills

91

1.54x

openai/plugins

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. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Skills

91

2.19x

specstoryai/agent-skills

Track all URLs fetched during SpecStory AI coding sessions. Run when user says "show my link trail", "what URLs did I visit", "list fetched links", or "show web fetches".

Skills

91

1.05x

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