Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use when building ReactJS web authentication with the Ping Orchestration JavaScript SDK (DaVinci) using `@forgerock/davinci-client` — scaffolds a complete React SPA authentication flow against PingOne DaVinci. Handles DaVinci client configuration, OIDC token exchange, dynamic DaVinci collector rendering in React (text, password, social login, MFA, FIDO2/passkeys, PingOne Protect), protected routes, user profile, and logout. Invoke when the user asks to "use @forgerock/davinci-client in React", "render DaVinci collectors in a React app", "set up PingOne DaVinci authentication in React", "build a React SPA with DaVinci", "add DaVinci login to my React app", or "use the DaVinci SDK with Vite and React". Also covers migrating a React app from `@forgerock/javascript-sdk` to `@forgerock/davinci-client`.
Use this skill to create investor pitch decks, partnership presentations, or business proposals. Triggers: "pitch deck", "investor deck", "fundraising presentation", "startup pitch", "investor presentation", "VC pitch", "seed deck", "series A deck", "business proposal", "partnership pitch", "sales deck", "demo day" Outputs: Structured slide content, talking points, and optional generated visuals.
Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when analysing concentration-time data, deriving exposure metrics, fitting PK or PD models, or evaluating dosing regimens. Triggers include "pharmacokinetics", "pharmacodynamics", "PK/PD", "NCA", "non-compartmental", "AUC", "Cmax", "lambda z", "half-life", "clearance", "volume of distribution", "compartmental model", "population PK", "popPK", "NONMEM", "nlmixr2", "Pharmpy", "Monolix", "exposure-response", "Emax", "EC50", "indirect response", "effect compartment", "TMDD", "PBPK", "bioequivalence", "RSABE", "ABEL", "allometric scaling", "first-in-human", "MABEL", "drug-drug interaction", "DDI", "ICH M12", "concentration-QTc", "therapeutic drug monitoring", "MIPD", and "dosing regimen".
Universal planning for technical and non-technical projects. Domains: software implementation, business, personal, creative, academic, events. Capabilities: feature planning, system architecture, goal setting, milestone planning, requirement breakdown, trade-off analysis, resource allocation, risk assessment. Actions: plan, architect, design, evaluate, breakdown, structure projects. Keywords: implementation plan, technical design, architecture, roadmap, project plan, strategy, goal setting, milestones, timeline, action plan, SMART goals, sprint planning, task breakdown, OKRs. Use when: planning features, designing architecture, creating roadmaps, setting goals, organizing projects, breaking down requirements.
Playwright E2E testing framework. Covers browser automation, assertions, and test generation. Use for end-to-end testing. USE WHEN: user mentions "playwright", "e2e test", "browser test", "end-to-end", asks about "page.goto", "page.click", "locators", "cross-browser testing", "visual regression" DO NOT USE FOR: Unit tests - use `vitest` or `jest`; Component tests - use `testing-library`; API-only tests - use framework HTTP clients; Mobile apps - use specific mobile testing tools
GWAS and population genetics tool. Processes PLINK (.bed/.bim/.fam), VCF, and BGEN; runs QC (MAF, HWE, missingness), IBD estimation, PCA, and linear/logistic regression GWAS. Outputs Manhattan-ready summary stats. Use regenie or SAIGE for biobanks (>100k samples) needing mixed models.
Track an intellectual property portfolio — registrations, renewals, maintenance fees, and trademark use declarations. Use to check for upcoming renewals, add or update assets, record maintenance fee payments, or audit the register for gaps, lapses, and commercial-use issues.
Use when asked to “position my product,” “positioning canvas,” “differentiate from competitors,” “figure out our category,” “repositioning,” or “why customers should pick us.” Helps define competitive alternatives, differentiated value, target customers, and market category. April Dunford's positioning framework from “Obviously Awesome” makes your product's value obvious to the right customers.
PostgreSQL operations, optimization, and administration. Use for: schema design, index selection, query tuning with EXPLAIN ANALYZE, postgresql.conf configuration, backup and restore (pg_dump, pg_basebackup, WAL, PITR), vacuum and autovacuum tuning, connection pooling (pgBouncer, pgPool), replication (streaming, logical), partitioning, monitoring (pg_stat_statements, pg_stat_activity), JSONB operations, full-text search (tsvector, tsquery), row-level security (RLS), extensions (PostGIS, pg_trgm, timescaledb), GiST/GIN/BRIN indexes, materialized views, foreign data wrappers, LISTEN/NOTIFY.
Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app
Every Polymarket and Kalshi market in one slim agent-native CLI, with cross-venue topic search and screens no other... Trigger phrases: `what are the odds on`, `polymarket odds for`, `kalshi odds for`, `find prediction markets for`, `what's trending on polymarket`, `what's resolving this week`, `compare polymarket and kalshi on`, `use prediction-goat`, `run prediction-goat`.
Author a single PPT slide as a self-contained slide.html + design.md, given one outline entry. Use when the user asks to design, draft, or rewrite an individual slide page (KPI page, agenda, cover, two-column comparison, chart slide, etc.). Single-page only; does not plan across pages, does not screenshot, does not export. Works alongside the `ppt` skill or standalone.
Analyze AI-implemented changes using a hierarchy of abstraction levels and output a structured GitHub PR body (body generation only; no Git operations; formerly github-pull-request). Organize from abstract to concrete in this order, even for large changes: system architecture diagram → data structures → APIs → processing flow → implementation details. Also covers how to assemble a PR body with image evidence.
Reviews a GitHub pull request and posts inline comments plus one consolidated summary, adapting to any codebase by discovering the project's own test runner, requirement specs, and architecture conventions before running six specialized review agents in parallel. Stack-agnostic across language and framework; targets GitHub PRs via the gh CLI. Use when the user says "review PR 128", "review this PR", "code review this PR", or "check this pull request". Do NOT use for creating PRs or responding to review comments (use gh-address-comments), or debugging failing CI checks (use gh-fix-ci).
Software craftsmanship principles from The Pragmatic Programmer. Use this skill when discussing best practices, debugging strategies, career development, or pragmatic approaches to software development. Auto-activates for DRY violations, debugging sessions, and development workflow improvements.
Guides end-to-end product and feature launches with launch sizing, GTM channel selection, cross-team alignment, and post-launch review. Use when the user mentions 'product launch,' 'GTM plan,' 'launch sizing,' 'launch priority,' 'feature release,' or wants structured launch planning.
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
Create non-technical documentation for project features in the docs/ folder. Use when documenting completed features, writing feature documentation, explaining how features work, or when the user asks to document the project or create docs for non-developers.
Comprehensive project planning and documentation generator for software projects. Creates structured requirements documents, system design documents, and task breakdown plans with implementation tracking. Use when starting a new project, defining specifications, creating technical designs, or breaking down complex systems into implementable tasks. Supports user story format, acceptance criteria, component design, API specifications, and hierarchical task decomposition with requirement traceability.
Generates a detailed project explanation and retrospective (FOR_USER.md) to help the user learn from the project. Use this skill when the user asks to explain the project, asks "what did we just build?", or invokes the skill to generate a learning resource after a coding session.
Build Claude prompts via an interview grounded in Anthropic best practices. Use when creating, writing, improving, or fixing a prompt—or when the idea is still vague. Triggers: write a prompt; create a system prompt; my prompt isn't working; help me prompt Claude.
Expert prompt engineering skill that transforms Claude into "Alpha-Prompt" - a master prompt engineer who collaboratively crafts high-quality prompts through flexible dialogue. Activates when user asks to "optimize prompt", "improve system instruction", "enhance AI instruction", or mentions prompt engineering tasks.
Edits or audits prose that the caller supplies as text or a file, preserves its claims and voice, removes machine-writing patterns, and verifies the result with the bundled linter. Use for explicit requests such as "rewrite this draft", "edit this existing PR body", "make this sound human", or "audit this prose without changing it". It does not review code, decide what a pull request or Jira issue should say, or compose from a blank sheet.
Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring. This skill provides research-backed thresholds from binder design competitions and published benchmarks.
Adds new AI providers to claude-council, configures provider API settings, troubleshoots provider connections, and documents the provider script interface. Covers creating provider shell scripts, setting API keys, and validating connectivity. Triggers on "add provider", "new AI agent", "provider not working", "API configuration", or "extend council".
Guidance for Microsoft Purview Records Management — declaring, managing, and disposing records across SharePoint, OneDrive, Exchange, and Teams. Covers retention labels with record / regulatory record options, file plan import, event-based retention (employee leaves, contract expires), disposition review (single- and multi-stage), proof of deletion / records of disposition, retention label policies vs auto-apply policies (KQL/sensitive info types/trainable classifiers), label-aware DLP, integration with Information Governance vs Records Management licensing, and role separation between records managers and admins. WHEN: records management Purview, file plan, retention label record, regulatory record, event-based retention, disposition review, record declaration SharePoint, immutable records, audit-proof deletion, file plan import. DO NOT USE for non-records data lifecycle (use purview-data-lifecycle), DLP policies (use purview-dlp-policy), or eDiscovery (use purview-ediscovery).
Use when building Python 3.11+ CLI apps (Typer/Rich), writing pytest test suites, fixing ruff linting or ty/mypy type errors, configuring pyproject.toml, creating portable scripts, or reviewing Python code. Activates on all Python implementation tasks — routes to specialist agents for CLI architecture, test design, packaging, and code review. Authoritative reference for modern Python 3.11-3.14 patterns and TDD workflows.
Use when the user asks for QA analysis, test planning, test cases, or root-cause analysis of a defect. Also use for post-merge PR review analysis: auditing recent closed PRs for Devin/GitHub/security bot comments, verifying whether requested corrections were applied, and turning pending fixes into SPECs.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.