> Your AI-powered performance management system. Write reviews that develop people, not just evaluate them. From self-assessments to 360° feedback to calibration — complete frameworks for every review

Run structured post-mortems that actually prevent repeat failures. Blameless analysis, root cause identification, and action tracking.

Run a full regulatory compliance audit for any business. Covers US, UK, and EU frameworks across 8 compliance domains with gap analysis, risk scoring, and remediation timelines.

Systematic framework for managing contract renewals, reducing involuntary churn, and maximizing renewal revenue. Covers SaaS subscriptions, service agreements, vendor contracts, and client retainers.

Complete technical documentation system — from planning through maintenance. Covers READMEs, API docs, guides, architecture docs, runbooks, and developer portals. Includes templates, quality scoring, and automation.

Complete web scraping methodology — legal compliance, architecture design, anti-detection, data pipelines, and production operations. Use when building scrapers, extracting web data, monitoring competitors, or automating data collection at scale.

Kimi (Moonshot AI) agent tool-use policy ported to OpenClaw. Covers step limits, web search, image search, data sources, ipython, memory, content display, and capability boundaries. All Kimi-specific tools are mapped to available OpenClaw skills.

Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structured JSON output, adaptive polling. Universal skill for 30+ AI agents including Claude Code, Amp, Codex, and Gemini CLI.

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issue-to-pr — Automatically fix GitHub issues end-to-end: reads the issue, analyzes repository code, implements a fix, and submits a pull request. Use when the user provides a GitHub issue URL, mentions fixing a GitHub issue, or uses the /fix-issue command. Supports URLs in the format https://github.com/{owner}/{repo}/issues/{number}.

Drives the BillClaw local bookkeeping CLI against SQLite (db/expenses.db) via scripts/main.py JSON subcommands—add/query transactions, delete and category-merge with preview+confirm, user-defined categories, reports with chart PNGs, CSV export, and a local Flask dashboard. Use when the user tracks 记账/收支/账本, manages 分类, asks for 报表 or charts, wants to open the Web 看板, exports CSV, or mentions BillClaw or running main.py (root shim) / scripts/main.py.

Not a code generator — an entire dev team. You write the vision, it ships the code. Autonomous builds, PRs, reviews, and merges across multiple repos. Point it at any JS/TS project and a product vision. It plans features, writes code, verifies builds, creates PRs, reviews diffs, and merges — autonomously. Manages multiple repos as one product. Use when you want to ship code without writing it. AI code generation, autonomous development, workflow automation, multi-repo orchestration, TypeScript, JavaScript, GitHub, OpenAI, Anthropic, Claude, GPT, LLM, devtools, CI/CD, pull requests, code review.

Build, curate, score, and maintain high-quality information source lists for AI, technology, business, or any topic. Use when the user asks to create a skill for trusted sources, make a watchlist of people/sites/accounts to follow, filter noisy sources into a smaller high-signal set, turn a link dump into a reusable monitoring system, or design a repeatable workflow for tracking official accounts, researchers, critics, and market signals.

Upload any contract or legal document and get a structured risk analysis with flagged clauses, plain-language explanations, and negotiation suggestions.

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门诊慢病审核（糖尿病/高血压）。输入 OCR 结果数组 JSON，输出审核结论与原因（原始 JSON + 自然语言结论）。

重大疾病理赔智能评估（支持 28 种病种）。输入住院病历结构化数据，调用内网评估接口，输出原始 JSON 与自然语言结论（结论 + 证据）。

This skill should be used when working with memory-lancedb-pro, a production-grade long-term memory MCP plugin for OpenClaw AI agents. Use when installing, configuring, or using any feature of memory-lancedb-pro including Smart Extraction, hybrid retrieval, memory lifecycle management, multi-scope isolation, self-improvement governance, or any MCP memory tools (memory_recall, memory_store, memory_forget, memory_update, memory_stats, memory_list, self_improvement_log, self_improvement_extract_skill, self_improvement_review).

Comprehensive bug audit for Node.js web projects. Activate when user asks to audit, review, check bugs, find vulnerabilities, or do security/quality review on a project. Works by dissecting the project's actual code to build project-specific check matrices, then exhaustively verifying each item — not by running a generic checklist. Supports games, data tools, WeChat apps, API services, bots, and dashboards.

Expand a structured brief in `content-production/inbox/` into a reusable long-form markdown article draft, then run a local writer / critic / judge quality loop with a constrained humanization pass. Use when Codex needs a stage-1 article draft plus reusable writing sidecars for downstream `generate-image` and `wechat-formatter`.

Generate article companion images for the content factory pipeline. Use when Codex needs article images, infographic cards, inline visuals, or a PNG exported from an article markdown draft before preview or publishing.

Render article markdown into WeChat-style HTML as an independent executor. Use when Codex needs公众号排版预览, WeChat HTML output, or a publishable HTML artifact generated from an article markdown draft.

Collaboratively design, evaluate, iterate on, and recommend a final launch candidate for a target prompt under the principle of “human-gated, agent-executed” workflow.

Prepare Claw skills for public release. Use when publishing skills to GitHub or ClawdHub - covers security audit, portability, documentation, git hygiene. Triggers: publish skill, release skill, audit skill, skill checklist, prepare skill for release.

Assemble modular ads from Supabase components and deploy to Facebook Ads Manager via the Marketing API. Supports preview, single/batch deploy, and status tracking. Uses ad_components table for A/B testing at scale.

Use OpenAI Codex CLI for coding tasks. Triggers: codex, code review, fix CI, refactor code, implement feature, coding agent, gpt-5-codex. Enables Clawdbot to delegate coding work to Codex CLI as a subagent or direct tool.

Triage tenant maintenance requests by severity, assign priority, identify the right contractor type, estimate costs, and generate work orders. Use when a tenant reports a maintenance issue, when reviewing open work orders, or when assessing property condition. Follows Massachusetts habitability requirements (105 CMR 410).

Python coding guidelines and best practices. Use when writing, reviewing, or refactoring Python code. Enforces PEP 8 style, syntax validation via py_compile, unit test execution, modern Python versions only (no EOL), uv for dependency management when available, and idiomatic Pythonic patterns.

Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.

Collect all customer reviews from an Amazon product URL or product-reviews URL through a logged-in Chrome session on port 9222, export a 14-column factual workbook, optionally fill translations through DeepLX, and then help the model tag the rows into a final delivery-ready spreadsheet. Use when the user sends an Amazon link and wants review scraping, competitor review analysis, review export, or a delivery-ready spreadsheet with usernames, review links, review time, helpful votes, translation, summary, sentiment, categories, and tags.

Ship code with oneshot CLI. One command that plans, executes, reviews, and opens a PR. Runs over SSH or locally. Use when the user wants to ship code changes, automate PRs, or run a coding pipeline with Claude and Codex.

AetherCore v3.3.4 - Security-focused final release. High-performance JSON optimization with universal smart indexing for all file types. All security review issues fixed, ready for production.

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Use when designing, reviewing, or refactoring a CLI to reliably serve AI agents alongside humans — including evaluating stdout contracts, schema introspection, dry-run, exit codes, auth delegation, safety tiers, and self-description. Use when converting an API or SDK into an agent-usable CLI interface.

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Apply these principles when writing, reviewing, or refactoring code. They are not rules to follow blindly — use judgment, but default to clean.

The most comprehensive proactive life management skill for AI agents. Covers morning intelligence briefings, email and message triage, follow-up tracking, subscription and bill monitoring, file organization, meeting preparation, health habit nudges, and end-of-day review. Built for busy professionals, parents, entrepreneurs, and anyone who wants their AI to run the operational layer of daily life without being micromanaged. No technical setup required.

Real estate transaction support with affordability analysis, property evaluation, and offer strategy. Use when user mentions buying a home, selling property, house hunting, mortgages, inspections, or rental agreements. Calculates true affordability, evaluates properties systematically, builds offer strategies, reviews contracts, and tracks transaction milestones. NEVER provides investment advice.

UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.

Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Generate ARRIVE 2.0 compliant animal research protocols with structured

Use blind-review-sanitizer for academic writing workflows that need structured anonymization, explicit assumptions, and clear output boundaries for double-blind submission.

Use when identifying seminal papers in a research field, mapping research lineage and intellectual heritage, discovering related work through reference tracking, or finding potential collaborators through co-citation analysis. Maps citation networks to trace research evolution, identify influential papers, and discover hidden connections in scientific literature. Supports systematic reviews, bibliometric analysis, and research planning through comprehensive citation tracking.

Simulates NIH study section peer review for grant proposals. Triggers

Assists researchers with Institutional Review Board (IRB) application tasks, including drafting informed consent documents, reviewing research protocols for compliance, generating application forms, and preparing submission checklists. Use when the user mentions IRB, Institutional Review Board, research ethics, human subjects research, protocol review, informed consent, or needs help preparing or reviewing an IRB application or submission.

Analyze data with `metagenomic-krona-chart` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Analyze data with `phylogenetic-tree-styler` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Analyze data with `pseudotime-trajectory-viz` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Build complex Boolean query strings for precise PubMed/MEDLINE literature retrieval. Trigger when user needs MeSH term mapping, Boolean query construction, advanced PubMed filters, citation searching, systematic review search strategy, or clinical query optimization.

Polishes response letters by transforming defensive or harsh language.