Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Search and retrieve Google's developer documentation using the Developer Knowledge API. Query documentation chunks, get full document content, or batch retrieve multiple documents. Covers ai.google.dev, developer.android.com, docs.cloud.google.com, firebase.google.com, and more.
Search places, resolve addresses, compare routes, inspect neighborhoods, and retrieve geographic or environmental facts through the standalone @cablate/mcp-google-map CLI. Use for concrete location questions; use the travel-planning or local-seo Skill for those specialized outcomes.
Write valid, schema-aware Crowdin GraphQL queries and debug invalid ones. Use this whenever the user asks for Crowdin GraphQL queries, filters, pagination, sorting, or when they share GraphQL errors from Crowdin Playground (especially unknown argument/field errors) and need a corrected query that actually matches the schema.
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
Pipeline status check for GTM projects. Use when returning to a project mid-implementation, when unsure what step comes next, or to get a quick overview of what has been completed. Reads all GTM output files and shows which skills have run, current implementation coverage, and the recommended next step. No API calls, instant. Trigger on - "what step am I on", "gtm status", "where did I leave off", "what's been done", "check progress", "pipeline status".
Comprehensive guitar theory consulting based on the Fret Science system by Keith Martin. Use when helping with fretboard visualization, pentatonic scales, modes, CAGED system, triads, intervals, 3nps patterns, harmonization, or any guitar theory questions. Covers the warp concept, rectangle/stack pentatonic approach, modal brightness, chord voicing analysis, and fretboard memorization techniques. Philosophy: Understand more, memorize less.
Publish, draft and read blog posts on the user's Hashnode blog using their own login cookies (BYOC) — no Hashnode Pro plan required. Use when the user mentions Hashnode, publishing/cross-posting an article to their Hashnode blog, saving a Hashnode draft, or listing their Hashnode publications.
Extracts tiles and preprocesses H&E whole slide images with the histolab Python library (OpenSlide), covering slide inspection, tissue masks (TissueMask, BiggestTissueBoxMask), RandomTiler, GridTiler and ScoreTiler extraction, image and morphological filters, and Macenko or Reinhard stain normalization. Use when building a tile dataset from WSI files for deep learning. Use when detecting tissue and excluding background or pen annotations. Use when previewing tile locations and exporting tile CSV reports. Use when normalizing stain variation across slides. Not for spatial proteomics, multiplexed imaging, or deep learning pipelines; use pathml for those.
When the user wants to optimize hospital supply chain operations, manage medical materials, optimize PAR levels, or improve hospital inventory management. Also use when the user mentions "hospital supply chain," "materials management," "PAR levels," "OR inventory," "clinical logistics," "hospital distribution," "medical supplies," "stockroom management," "two-bin system," "floor stock," or "hospital warehousing." For pharmacy-specific operations, see pharmacy-supply-chain. For medical device distribution, see medical-device-distribution.
Runs the deterministic structural lint over a tempa-spec change's artifacts (hashtag counts, checkbox format, delta headers, capability<->spec-file correspondence, Covers: target existence, design.md section presence, unverified External Dependencies rows, tasks.md group graph: Depends on, task coverage: Covers: per group in both directions, the threat chain: every threat answered by a negative scenario or a named check, and proposal size and shape warnings) so a language model does not do this by hand. Called from hrt-adversarial-authoring and hrt-align-consistency-review. Judgement checks stay with the reviewers.
Steel-manning resolution for tempa-spec's dark mode. Resolves findings that would normally escalate to the user (DECISION/HIGH from hrt-align-consistency-review and hrt-apply-code-review; single-reviewer UNANCHORED from hrt-adversarial-authoring). Always a fresh subagent. Use only when dark.md exists and the calling skill has a finding it cannot resolve on its own evidence.
Use when the user says 'convert this html to breakdance' or 'paste html into breakdance', or has a Webflow, Framer, CodePen, or old static export to bring into a Breakdance site. Converts raw HTML and CSS into native EssentialElements nodes in _breakdance_data, mapping colors, type, and spacing to Breakdance Variables, and refusing element types Breakdance would skip-render.
Queries Huawei Cloud Cloud Connect (CC) Central Network resources via hcloud CLI. Covers central network instances (single + list), central network attachments (single + list, including ER route table and GDGW attachment types), and central network connections (single + list). No write operations. Use this skill when the user needs to inspect central network topology, check central network connection status, review attachment configurations, or audit central network deployment. Triggers: 中心网络, Central Network, CC Central Network, 中心网络实例, 中心网络附件, 中心网络连接, central network instance, central network attachment, central network connection, 查询中心网络, central network query.
Manage CloudRobo data processing (proc-tasks) and data evaluation (eval-tasks) — query algorithms, create/list/show/update/delete/copy tasks; poll task status until terminal; retrieve system and job logs; download logs; query task events (normal/warning); preview output data and frames; discover available algorithms from the asset marketplace; orchestrate processing→evaluation pipelines; batch-manage tasks across workspaces; diagnose failures via log analysis; and onboard custom data-processing operators (five phases: deploy mode → code adaptation → image build/SWR push or OBS delivery → asset registration → runtime verification). Chained evaluation only; standalone simulation evaluation belongs to huawei-cloud-cloudrobo-eval. Multi-stage data-cleaning pipelines belong to huawei-cloud-cloudrobo-data-pipeline. Triggers include: data processing task management, data evaluation task management, task copy, task status polling, task events, log retrieval for troubleshooting, output data preview, algorithm discovery, task pipeline orchestration, batch task management, failure diagnosis, custom operator onboarding, dataset, proc-tasks, eval-tasks. Also prepare LeRobot manifest.yaml from a local ROS2 bag through terminal conversation or the bag2manifest Web workbench. Triggers include bag2manifest, ROS2 bag-to-LeRobot configuration, generating manifest.yaml through conversation, starting the bag2manifest Web service, and topic mapping.
Revenue analytics on HubSpot via the Epiphan AI warehouse (execute_sql / query_dataset) — ICP validation, lead scoring, competitive win/loss, activity analysis, pipeline forecasting — with list-producing use cases gated through qualify_lead. Use when: "hubspot analytics", "revops dashboard", "lead scoring", "pipeline forecast", "ICP analysis", "hubspot SQL", "hubspot warehouse", "win/loss by competitor", "revenue analytics hubspot". Not for basic CRM CRUD (crm-integration-skill) or generic dashboards (data-analysis-skill).
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Idea generation skill for academic research — from divergence to convergence, systematically producing high-quality research ideas. Use this skill whenever the user wants to brainstorm research directions, find a new research idea, or asks "what research can I do next." Trigger words include: brainstorm, 想 idea, research direction, what to do next, what can be researched, find gap, research proposal. Suitable for academic research idea generation at any stage.
Search possibilities across alternatives, causal paths or paths with a fork for a researchable goal, researching the web unless told not to, then seal one ideation.md that opens with what to do. Invoke for researched, decision-oriented exploration or structured option generation; skip routine context gathering and casual quick-list brainstorming unless structured ideation is explicitly requested. Domain-neutral; repository context is optional.
Implement or resume settled work from one selected spec folder as one handoff bundle. Use when the user provides a `docs/specs/SLUG/` folder and wants its settled spec completed in the current checkout with verification, one completed and triaged automated code review, and a runnable product handoff when the repository exposes one through a local server.
Optional meta-skill for improving `chrislacey89/skills` from real-world friction or breakdowns discovered while using the pipeline in another repo. Use when the main lesson is about the pipeline itself, not the downstream project. Grounds proposals in established software-engineering guidance from `/library`. Produces a GitHub issue in `chrislacey89/skills` and only moves to implementation after review.
Deprecated: this skill has been deprecated. Use this when working with InStreet forum or Playground flows. It restores account state from ~/.instreet, can auto-register when no local account exists, and routes all InStreet API requests through the bundled Python client. It has first-class commands for forum, groups, literary, arena, oracle, and games workflows, with raw api fallback for long-tail endpoints.
Integrates Clerk authentication into React Native Expo apps using @clerk/clerk-expo. Covers ClerkProvider setup, secure token caching (expo-secure-store), Expo Router/React Navigation auth guards, custom sign-in/sign-up flows (email/password + email codes), SSO/OAuth (useSSO), Sign in with Apple (useSignInWithApple), biometrics (useLocalCredentials), offline support, and production deployment allowlisting. Use when the user mentions Clerk + Expo, @clerk/clerk-expo, Expo Router auth, SSO/OAuth redirects, or deploying Clerk in a mobile app.
Query InterPro for protein family, domain, and functional site annotations. Integrates Pfam, PANTHER, PRINTS, SMART, SUPERFAMILY, and 11 other member databases. Use for protein function prediction, domain architecture analysis, evolutionary classification, and GO term mapping.
Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work instructions, (4) preparing Medical Device Files, (5) understanding ISO 13485 requirements, or (6) identifying missing documentation for medical device certification. Also use when users mention medical device regulations, QMS certification, FDA QMSR, EU MDR, or need help with quality system documentation.
ISO 26262 functional-safety expert that operates in two modes: (1) HARA / ASIL determination — enumerate hazardous events from item malfunctions × driving situations, rate Severity (S0–S3), Exposure (E0–E4), Controllability (C0–C3), look up ASIL from ISO 26262-3:2018 Table 4, and produce a HARA report with Safety Goals; (2) Safety Goals & FSC — translate hazardous events and ASIL into well-formed Safety Goals with safe state, Fault Tolerant Time Interval (FTTI = FDTI + FRTI), Emergency Operation Time Interval (EOTI), and high-level Functional Safety Requirements allocated to system elements. Both modes cover ASIL decomposition applicability per Part 9 §5. Works the full item in a single pass and returns decision-ready safety artefacts with a built-in self-check and explicit confidence/gaps.
Query JASPAR for transcription factor binding site (TFBS) profiles (PWMs/PFMs). Search by TF name, species, or class; scan DNA sequences for TF binding sites; compare matrices; essential for regulatory genomics, motif analysis, and GWAS regulatory variant interpretation.
Provides comprehensive guidance for Jest testing framework including test writing, matchers, async testing, mocking, snapshots, configuration, and CLI. Use when the user asks about Jest, needs to write JavaScript/TypeScript tests, mock dependencies, or configure Jest for projects.
Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
Use when Codex must rebuild an existing slide image, screenshot, or image-only PPTX page into an editable .pptx replica, especially Chinese business report slides with editable text, cards, arrows, complex visuals, and independently movable generated image assets.
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies
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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.