Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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(NS) Onboard an existing codebase into spec-driven planning — map stack, modules, rule adherence, and gaps without modifying code. Use when the user says analyze existing project, brownfield bootstrap, or before first requirements on a repo with code but no requirements. Outputs brownfield-map.md for requirements-generator. Read-only on source code.
Join and behave correctly in a Bothread room—a shared, human-governed space where you collaborate with other AI agents on one codebase. Use when the user says they want you to join a Bothread session, gives you a Bothread session ID, or asks you to coordinate with other agents.
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
ALWAYS use this skill before answering brainstorming, ideation, prompt crafting, or open-ended exploration requests. Transforms vague requests into actionable outputs via adaptive guided questioning — triages into Prompt Mode (craft/improve prompts), Explore Mode (brainstorm ideas), or Focused Mode (specific problem strategies). Trigger when user says: "brainstorm", "ช่วยคิด", "help me think", "I have an idea", "improve this prompt", "let's explore", "I want to build", "I'm thinking about", "brainstorm วิธี", "ช่วยคิดหน่อย", "อยากทำ", "ยังไม่รู้จะทำอะไร", "not sure about the approach", "help me figure out", "what should I". Also trigger for: side projects, career decisions, project planning, migration strategies, architecture decisions, cost optimization, or any request where the user hasn't decided direction yet and would benefit from structured discovery. Do NOT skip — adapts depth automatically (2-7 questions) and produces BETTER results by asking targeted questions first.
Use when the user needs creative divergence, requirements exploration, or product planning (whether creating a feature, building a component, adding functionality, or changing behavior). This skill turns ideas into a complete design plan and requirements specification through collaborative dialogue.
Use when creating or developing, before writing code or implementation plans - refines rough ideas into fully-formed designs through collaborative questioning, alternative exploration, and incremental validation. Don't use during clear 'mechanical' processes
Premium brand-kit image generation skill for creating high-end brand-guidelines boards, logo systems, identity decks, and visual-world presentations. Trained for minimalist, cinematic, editorial, dark-tech, luxury, cultural, security, gaming, developer-tool, and consumer-app brand systems. Optimized for intentional logo concepting, refined composition, sparse typography, strong symbolic meaning, premium mockups, art-directed imagery, and flexible grid layouts.
Designs and executes tabletop breach simulation exercises for testing organizational breach response capabilities. Covers scenario creation with realistic inject timelines, participant role assignment, communication testing across internal and external channels, decision-point evaluation, and after-action report generation. Keywords: tabletop exercise, breach simulation, incident response testing, scenario design, after-action report.
Help clinic supervisors author practice-area guides and configure student-facing skill behavior — intake questions, teaching posture (assist / guide / teach), review gates, cross-plugin checks, local rules. Use when a supervising attorney needs to write or revise practice-area guides, adjust how clinic skills behave in their clinic type, or set their teaching philosophy as plugin configuration.
Bulk engineering approaches, tools, and implementation strategies for mass-generating PLC/DCS control logic, HMI displays, and I/O configurations from engineering databases. Use when planning or implementing automation of DCS engineering workflows.
Converts and transcodes audio file formats and encoding parameters using Volcengine LAS. Audio format conversion between wav, mp3, flac, m4a, ogg, aac and other audio formats. Adjusts sample rate (resample, downsample, upsample), bit rate (bitrate), channels (mono, stereo, channel mixing), audio compression, and audio quality settings via ffmpeg parameters. Supports TOS cloud storage paths and local file upload. Use this skill when the user wants to convert audio format (wav/mp3/flac/m4a/ogg/aac), transcode or re-encode audio files, adjust audio sample rate, bitrate, channels, compress audio files, resample or downsample audio, prepare audio for downstream tasks, or do any audio preprocessing.
Deploy, configure, and use camofox-browser — the Camoufox-engine anti-detection browser server (REST API on port 9377) for AI agents. Use when code hits `http://localhost:9377/tabs`, `/sessions/:userId/cookies`, or `/youtube/transcript`; when scripts install `@askjo/camofox-browser`, run `npm start` in the `camofox-browser` repo, or call `make up`/`make fetch`; when agents invoke OpenClaw `camofox_*` tools (`create_tab`, `snapshot`, `click`, `type`, `navigate`, `scroll`, `screenshot`, `close_tab`, `list_tabs`, `import_cookies`); when the user asks about Camoufox fingerprint spoofing, bypassing Cloudflare/Google bot detection, element refs (`e1`, `e2`), accessibility snapshots, search macros (`@google_search`, `@reddit_subreddit`), Netscape cookie import, session isolation, backconnect proxy rotation with GeoIP, VNC/noVNC login, writing `plugins/<name>/index.js` with `register(app, ctx)`, `CAMOFOX_*`/`PROXY_*` env vars, or deploying to Docker/Fly.io/Railway.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Alpha派 default investment research skill — combines the official API (Q&A/RAG/Agent) and the web version (roadshows/commentary/trending topics). Suited for everyday use such as general investment research questions, company analysis, and industry research. For large-scale data scraping or retrieving full lists, use the alphapai-web skill instead.
For each spending category, computes current-period spend, 6-month rolling average, year-over-year delta, and budget variance, then flags categories that are outliers (>1.5x rolling average or >130% of budget). Produces a ranked list of categories that grew, shrank, or stayed flat, plus the top transactions driving each outlier. Use for monthly spending reviews, identifying lifestyle creep, evaluating budget adherence, or when user mentions category trends, spending changes, budget variance, or outlier spend.
Use the cbrain CLI to work with your organization's knowledge brain: search semantically, read and write company knowledge, and inspect the current identity. Use this skill when answering questions about the company's people, projects, customers, meeting notes, policies, or past decisions, or when saving new meeting notes, documents, or conclusions to the shared company knowledge base. Mandatory discipline: identify the brain first → search before answering (never fabricate) → cite every conclusion with [[source]] → treat anything not found as nonexistent.
[BETA] Transform feature descriptions or requirements into structured implementation plans grounded in repo patterns and research. Use when the user says 'plan this', 'create a plan', 'write a tech plan', 'plan the implementation', 'how should we build', 'what's the approach for', 'break this down', or when a brainstorm/requirements document is ready for technical planning. Best when requirements are at least roughly defined; for exploratory or ambiguous requests, prefer ce:brainstorm first.
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Test Cherry Studio PRs by resolving and checking out a PR, statically inspecting its changes, running interactive UI tests against a safely tracked Electron instance through CDP, producing a structured report, cleaning up only the owned test instance, and restoring the original branch.
Implements profiling restrictions for children under GDPR Recital 71, Article 22, UK AADC Standard 12, and COPPA. Covers prohibition of behavioural advertising to children, recommendation algorithm limitations, nudge technique prohibition, and automated decision-making safeguards. Keywords: profiling, children, behavioural advertising, recommendation algorithm, AADC, automated decision.
CI/CD pipeline patterns with GitHub Actions, release automation, and testing strategies. Use for: github actions, workflow, CI, CD, pipeline, deploy, release, semantic release, changesets, goreleaser, matrix, cache, secrets, environment, artifact, reusable workflow, composite action.
Update clash-meta proxy configuration. Use when updating proxy nodes for clash-meta service, editing config.yaml with new proxies from .proxies.yaml, or maintaining proxy-groups consistency. Use the provided Python script with uv for automated backup, proxy update, and proxy-groups review.
Claude Code automatic advisor for security, reviews, high-risk design, substantial multi-step plans, complex refactors, recurring failures, and risky completion checks. Skip trivial work, ordinary planning, other harnesses, or sessions without an advisor tool.
Rewrites code to fix clean coding violations. Use when: acting on a violation report from clean-code-reviewer, fixing specific code-level issues (function size, naming, error handling, smells) in existing code, or as the final step in a refactoring workflow after an architect has designed the target structure. Does NOT make architectural changes — structural redesign is the responsibility of the appropriate data-engineer in Implement Mode, working from an architect's design. Supports Python, JavaScript/TypeScript, C#, and Rust. Supports both general (Clean Code) and OB (BORO Quick Style Guide) convention sets via the `standard` parameter.
Design and build a CLI that an AI agent can operate safely and a human can supervise. Use when the user wants to build a CLI, wrap an API in a command-line tool, build a CRUD or local-first tool over a database or filesystem the user already owns, add --json or --dry-run to an existing CLI, design a trust ladder or approval gate for risky commands, wrap an async API so agents do not write their own poll loop, or decide how to distribute a CLI (npm, native binary, source). Runs on its own when the contract is yours to define; follows a surface-recon report when the target is someone else's service
Log client communications — phone, email, text, letter, meeting, voicemail. Append-only per matter, with dated entries, direction, medium, summary and action items. Works with /client-letter and /status client. Use when logging a call or client email, reviewing the communications log, or asking "what did we last tell [client]"
Structured intake — practice-area templates, cross-area issue spotting, conflict flags, triage classification. Produces a formatted case summary for student analysis and supervisor review. Does not decide whether to accept a case. Use when starting a new client intake, conducting an intake interview, or recording a new client's situation.
Template-based routine client letters — appointment confirmations, document requests, "filed" briefs. Plain language, required elements, supervision routing. No substantive advice. Use when a student needs to send a routine letter, appointment confirmation, document request, or a short status note to a client.
Builds and deploys remote Model Context Protocol (MCP) servers on Cloudflare Workers in TypeScript with @modelcontextprotocol/sdk: McpAgent class patterns for tools, resources, and prompts, all four authentication patterns (token validation, remote OAuth with DCR, OAuth proxy via workers-oauth-provider, and a full OAuth provider), GitHub/Google/Azure OAuth, Durable Objects for per-session state, WebSocket hibernation for cost savings, and dual SSE plus Streamable HTTP transports. Ships templates for basic servers, OAuth proxy, stateful Durable Object servers, and wrangler.jsonc configs, and prevents 15+ errors including McpAgent export mistakes, OAuth redirect URI mismatches, WebSocket state loss, Durable Objects binding errors, and CORS misconfiguration. Use when creating, authenticating, debugging, or deploying an MCP server on Cloudflare Workers.
Complete knowledge domain for Cloudflare Workflows - durable execution framework for building multi-step applications on Workers that automatically retry, persist state, and run for hours or days. Use when: creating long-running workflows, implementing retry logic, building event-driven processes, scheduling multi-step tasks, coordinating between APIs, or encountering "NonRetryableError", "I/O context", "workflow execution failed", "serialization error", or "WorkflowEvent not found" errors. Keywords: cloudflare workflows, workflows workers, durable execution, workflow step, WorkflowEntrypoint, step.do, step.sleep, workflow retries, NonRetryableError, workflow state, wrangler workflows, workflow events, long-running tasks, step.sleepUntil, step.waitForEvent, workflow bindings
Manage cloud development sandboxes with cloudrouter. Create, sync, and access remote VMs with GPU support, Docker, and browser automation. Use when asked to create a sandbox, spin up a dev environment, run code in the cloud, use GPUs, automate a browser, or interact with remote VMs.
(NS) Ad-hoc coding agent for focused implementation without full SDD planning — bug fixes, isolated components, small refactors, scripts, migrations. Use when the user says "just implement this", "quick fix", "add a field to the form", or gives a concrete coding task without execution-handoff — even without naming an agent. When a planned version has execution-handoff.md, follow execution-handoff-generator run-implementation workflow instead of this skill's ad-hoc cycle. Redirect large multi-day features to planning. Do NOT generate requirements.md, task files, or execution-handoff.
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.