Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
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OpenTelemetry Transformation Language (OTTL) for OTel Collector pipelines. Use when writing or debugging OTTL statements in the transform processor, filter processor, or routing connector in any collector configuration — context selection, path expression mistakes (`attributes` vs `resource.attributes`), `error_mode`, cardinality reduction with `keep_keys`, JSON body handling with `ParseJSON`, PII redaction with `SHA256` / `replace_pattern`, and span naming. Not for receiver/exporter connectivity, DNS, pipeline wiring, or telemetry that never reaches the processor — those are infra problems, not OTTL problems.
Generate initial OpenWiki documentation (openwiki/ directory) for the current repository — quickstart entrypoint plus focused section pages, grounded in source and git evidence. Use when the user wants to initialize, bootstrap, or (re)generate a repository wiki from scratch.
Use when asked to "opportunity solution tree", "OST", "Teresa Torres", "map customer opportunities to outcomes", "structure discovery around opportunities", or "compare solutions for a customer need". Helps product teams connect outcomes to customer opportunities and test solutions with Opportunity Solution Trees (created by Teresa Torres).
Reconstruct an open-source project's growth channels, key content, and stage-by-stage attribution from GitHub history and public web evidence. Use this skill when asked to research GitHub star growth, identify launch and amplification channels, explain viral milestones, find representative posts or videos, compare Product Hunt/Show HN/Reddit/KOL impact, or produce an evidence-backed OSS growth attribution report.
Analyze local Q&A session JSONL files and produce a complete, auditable English Markdown weekly report over consecutive time windows, with all data required for downstream Feishu document and whiteboard rendering. Use for requests such as "analyze the latest week of sessions," "generate a community Q&A weekly report," or "compare with last week." This skill does not ingest other message sources or create/upload online documents.
Run and configure oxfmt — the high-performance JavaScript/TypeScript formatter built on the Oxc compiler stack, ~30x faster than Prettier. Use this skill whenever working in a project that has oxfmt installed (check for `oxfmt` in package.json devDependencies or an `.oxfmtrc.json` / `.oxfmtrc.jsonc` config file). This includes when you need to format code after making changes, set up oxfmt in a new project, migrate from Prettier, configure formatting rules, set up editor integration (VS Code, Neovim, Zed, JetBrains), or add formatting checks to CI/CD pipelines. Also use when the user mentions "oxfmt", "oxc formatter", "format with oxc", or asks about Prettier alternatives with better performance.
Query and manage PagerDuty — find out who's on call, list and manage incidents, read escalation policies and schedules, trace who got paged and why, acknowledge/resolve/snooze/escalate incidents, and create or update services. Use this whenever the user mentions PagerDuty, on-call, paging, escalation, an incident ID like `PXXXXXX` or `Q...`, asks "who's on call", "page the on-call", "ack this incident", "why wasn't I paged", or pastes a pagerduty.com URL — even if they don't say "API". Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use for paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.
End-to-end password spray playbook. User enumeration, lockout detection, password pattern generation, spray execution across all protocols, error code differentials, and engagement discipline. Unifies M365/Entra, Okta, Exchange, Kerberos, SharePoint, XMLRPC, OIDC, and AD SMB/WinRM spraying into one methodology.
Covers local, research-only computational pathology with PathML 3.0.5: loading and tiling whole-slide images (OpenSlide, Bio-Formats), preprocessing and QC pipelines run via SlideData.run(), .h5path data management, multiplex image quantification, spatial graph construction (KNN, RAG, HACT), and bounded local ONNX model inference planning. Use when loading or tiling slides, building tissue-mask or stain pipelines, managing .h5path files and patient-level splits, quantifying CODEX or Vectra multiplex images, or building cell and tissue graphs. Not for clinical diagnosis or patient care decisions.
Query live pathogen genomic surveillance data through the GenSpectrum LAPIS API to find which viral lineages are circulating now, how fast they are growing, and what mutations they carry. Use whenever a question depends on the current state of a pathogen population rather than on remembered facts - which SARS-CoV-2 variant is dominant, whether a Pango lineage is still designated or has been withdrawn, what clade or genotype of H5N1 is in a host or region, whether a PCR primer or assay target still matches circulating sequence, or how a lineage's prevalence has moved week to week. Triggers include "variant surveillance", "genomic surveillance", "what variant is circulating", "dominant variant", "Pango lineage", "lineage prevalence", "growth advantage", "SARS-CoV-2 variant", "XFG", "clade 2.3.4.4b", "H5N1 genotype", "influenza clade", "RSV/mpox/measles/dengue lineage", "CoV-Spectrum", "LAPIS", "Nextclade", "pango-designation", and any request to report what a pathogen population looks like today.
Ingest PDF/Markdown/TXT files into joelclaw's docs memory pipeline with Inngest durability, durable NAS artifacts, and OTEL verification. Use when adding docs, running batch reindex, reconciling coverage, or recovering stuck runs. Triggers on: 'ingest pdf', 'ingest markdown', 'docs add', 'pdf-brain ingest', 'backfill books', 'docs reconcile', 'reindex docs', 'batch reindex'.
Run a fleet of Claude Code sessions on this machine and make them talk to each other with SendMessage — from Claude Code itself or through a real Claude relay when the caller is Codex. Launch them in cmux or herdr windows, panes and splits (auto-detected), address them correctly, hand out work, collect or recover replies, and tear them down cleanly when the user asks. Use whenever the user wants two or more Claude sessions working together, asks Codex to contact an existing Claude session, mentions SendMessage, ListAgents, peer sessions, cross-session messaging, or agents messaging each other; whenever they want sessions in new windows, workspaces, panes or splits; and especially when a send fails with "not an agent in this conversation", "re-send with the ref", or the caller lacks Claude's native messaging socket.
Performance optimization paradigm workflow, proven across stacks: benchmark harness → evidence-validity gate (ten in-file disciplines: measurement artifacts, caliber pollution, device/profile mismatch, comparison environment state) → attribution → one-target-per-iteration optimization → A/B cross-run statistical verification → benchmark-log sediment, on an environment-gated iteration loop (no loop runner ⇒ honest stop). Seeds per-project code-insight/code-optimizer skills with probe scripts and evolves them every campaign (stack corpus in reference.md). Triggers — 「性能分析」「性能证据」「性能定位」「性能假设」「性能监控」「性能优化」「性能验证」「性能深入」「性能问题」「卡顿」「很慢」「前端性能」「Electron 性能」「伪影排查」「口径校准」「设备画像」 / performance analysis, perf evidence, locate bottleneck, perf optimization, perf verification, measurement artifact check. Do NOT use for non-performance bugs (solve-workflow) or trivial single-line edits
Manage Claude Code's global tool permission configuration, automatically adding MCP commands or other tools to allowedTools so manual approval is not needed on every use. Workflow: confirm the command the user wants to add -> confirm the scope (global ~/.claude.json by default) -> perform the addition -> verify and remind to restart.
Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions
Researches Pinterest profiles, boards, pins, idea categories, and search results via the Crawlora API, returning clean JSON. Use when the user wants a Pinterest user's profile/boards/pins, a pin's or board's detail, a category feed, or a keyword search on Pinterest—instead of scraping Pinterest directly.
Use when handling creation, version management, instantiation, permission control, PAC templates, and store integration for BK-CI pipeline templates. Prefer this when users mention template reuse, template versions, batch instantiation, template migration, store templates, or PAC templates.
Use this skill when working with Pixi workspaces, pixi.toml, Pixi-enabled pyproject.toml, or pixi.lock. Covers workspace initialization and import; conda/PyPI dependencies; features and environments; task execution; lock policies; troubleshooting; and Pixi global tools.
Write a Guided Review (a chaptered walkthrough of a changeset with the real diffs inline) and turn it into one portable HTML file with `plannotator guide export`. Use when someone asks for a guide, walkthrough, tour, or explainer of a diff, branch, PR, or commit, or wants a shareable review guide. Needs git and the plannotator CLI.
Design and audit platform certification programs for partners, apps, plugins, integrations, agencies, creators, marketplace listings, templates, and developers. Covers eligibility, quality gates, test suites, badge policy, renewal, audits, appeals, revocation, partner enablement, directory ranking, and customer trust. Use when a platform needs reliable ecosystem quality signals.
Analyzes platform business models by distinguishing Aggregators from Platforms, mapping network effects, and identifying when to externalize internal primitives as ecosystem growth engines. Use when evaluating platform dynamics, designing marketplace strategy, or analyzing aggregation and network effects.
Browser automation with Playwright for Python. Use when testing websites, taking screenshots, filling forms, scraping web content, or automating browser interactions. Triggers on browser, web testing, screenshots, selenium, puppeteer, or playwright.
Battle-tested Playwright patterns for E2E, API, component, visual, accessibility, and security testing. Covers locators, fixtures, POM, network mocking, auth flows, debugging, CI/CD (GitHub Actions, GitLab, CircleCI, Azure, Jenkins), framework recipes (React, Next.js, Vue, Angular), and migration guides from Cypress/Selenium. TypeScript and JavaScript.
Product-management copilot based on the Pragmatic Institute Framework (Foundations, Focus, Build). Use this as the entry point whenever a product manager wants to work through building a product or feature the market-driven way — e.g. "I want to build a feature", "help me plan this product", "where do I start", "I have an idea for X". It figures out where the PM is in the Pragmatic journey, guides them through the right stages (market research, personas, positioning, strategy, requirements, roadmap, launch), and produces a client-ready artifact (Markdown or Word .docx) at every stage. Also use it to explain the Pragmatic Framework or choose which PM artifact to create
Run Pragmatic Institute market discovery and validate real market problems before anything gets built. Use when a PM says "I want to build a feature", "do market research", "talk to customers", "discovery", "validate this idea", "is this problem real", "NIHITO", or "who should I interview". Enforces the outside-in rule: build only for problems that are urgent, pervasive, and that the market will pay to solve. Produces a Market Discovery Document and a Market Problems Table as a Markdown or Word .docx artifact
Score and rank product opportunities objectively with the Pragmatic Institute Opportunity Scoring model — across distinctive competency fit, competitive landscape, investment level, and impact to buyers/users. Use when the PM asks which idea to pursue, "score these opportunities", prioritize projects/bets, or compare options objectively instead of by opinion. Produces an Opportunity Scorecard as a Markdown or Word .docx artifact
Use this skill to create podcast episodes, interviews, dialogues, and conversation-style audio. Triggers: "create podcast", "podcast episode", "interview audio", "dialogue", "conversation", "two hosts discussing", "audio show", "radio show", "audio drama" Orchestrates: script generation, multi-speaker TTS, intro/outro music, and audio assembly.
Python library polars-bio for genomic interval operations and bioinformatics file I/O on Polars DataFrames, built on Arrow and DataFusion. Covers overlap, nearest, merge, cluster, coverage, complement, subtract, count_overlaps, per-base pileup depth, and read/scan/write of BED, VCF, BAM, CRAM, SAM, GFF/GTF, FASTA, FASTQ, plus SQL queries over those files. Use when intersecting or merging genomic intervals in Polars. Use when reading or streaming large BED, VCF, or BAM files, including from S3, GCS, or Azure. Use when computing read depth from BAM or CRAM. Use when running SQL on genomic files. Use when migrating bioframe code to a faster alternative. Not for pandas-only workflows that do not use Polars or DataFusion.
Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.
Create a Positioning & Messaging Pack (positioning statement, messaging hierarchy, value proposition, tagline/headlines, copy set, validation plan). Use for positioning, messaging, value prop, tagline, homepage hero, one-liner, elevator pitch, and press pattern-matching.
Create, schedule, and manage social media posts via Postey across X, LinkedIn, Instagram, TikTok, YouTube, Threads, Bluesky, Facebook, and Pinterest. The hub: accounts, platform truth, the post lifecycle, and the shared craft layer that decides how a post is written — plus the local-file and large-upload paths the MCP server cannot reach. Content flows ship as optional packs that require this one: install `postey-video` to transcribe a video and turn it into per-platform posts, `postey-ideas` to decide what to post.
Safe household actions, offline memory, and evidence-backed answers on top of the full Home Assistant control surface. Trigger phrases: `turn the apartment into movie-night mode`, `which windows are open`, `why did my automation fail`, `check my Home Assistant health`, `use Home Assistant`, `run Home Assistant`.
SurgeGraph is the Answer Engine Optimization (AEO) platform that tracks AI citations, scores pages for citation readiness, and one-click fixes the gaps — now every workflow runs from the terminal or any agent. Trigger phrases: `what changed in SurgeGraph this week`, `AI Visibility for my project`, `which prompts lost AI citations`, `publish gap articles from a topic research`, `what knowledge libraries actually show up in citations`, `use surgegraph`, `run surgegraph`.
Every USGS earthquake feed and event query in one terminal, with offline SQLite cache, agent-native output, and a... Trigger phrases: `any recent earthquakes`, `earthquakes near`, `aftershocks of`, `USGS earthquake feed`, `M5 earthquake`, `tsunami earthquake`, `swarm detection`, `use usgs-earthquakes`, `run usgs-earthquakes`.
Run any WaveSpeed model from the terminal, with price checks, safe uploads, and recovery-safe downloads. Trigger phrases: `generate an image with wavespeed`, `run a wavespeed model`, `make a video with seedance`, `check my wavespeed balance`, `how much will this wavespeed run cost`.
Manage stacked PRs using whichever stacking tool is installed: Graphite (`gt`), git-town (`git town`), or GitHub's native `gh stack` extension. Detects which is available in the current repo, then drives the matching one via its per-tool reference (`references/gt.md`, `references/git-town.md`, or `references/gh-stack.md`). Use when the user asks to "create a stack", "stack a branch", "restack", "submit a stacked PR", "rebase the stack", "sync the stack", "track this branch", "the bottom PR merged, what now", "clean up after a stack merge", or invokes /pr-stack. If none is available, stop and tell the user — never fall back to ad-hoc `git push` chains. Do NOT use for staging or committing — hand off to /commit. Do NOT use for PR review traffic, comments, or CI checks — hand off to /gh.
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.