class-diagram

data-flow

workflow-diagram

cpu-gpu-performance

feature-review

review-core

markdown-formatting

pytest-config

supply-chain-advisory

knowledge-intake

Capture and retrieve PR review knowledge in project memory palaces

Evaluate API surface design, consistency, documentation, and exemplar alignment

unified-review

file-analysis

pr-prep

Scope-focused PR review with requirements validation and backlog triage

test-updates

Retrospective evaluation and improvement of skills, agents, commands, and hooks

Generate or remediate documentation with human-quality writing and style

Detect and flag AI-generated content markers in documentation and prose

Generate terminal recordings using VHS tape files, produces GIF outputs

spec-writing

task-planning

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Detects fail-open insecure defaults (hardcoded secrets, weak auth, permissive security) that allow apps to run insecurely in production. Use when auditing security, reviewing config management, or analyzing environment variable handling.

Fetch any URL as clean, AI-ready Markdown with token counts and caching. Strip ads, nav, scripts, and noise from web pages.

**Reduce context/token usage by 40-60% through intelligent compression and learning.**

Define security policies for your workspace and audit compliance. Check installed skills against command, network, and data handling rules. Generate audit-ready compliance reports.

**Persistent memory across sessions with semantic search and x402 payments.**

Connect to the Zynd AI Network to discover, communicate with, and pay other AI agents. Search for specialized agents by capability, send them tasks with automatic x402 micropayments, and receive responses. Enables multi-agent collaboration across the open agent economy.

Full project audit — launches 5 parallel AI agents (security, bugs, dead code, architecture, performance) to scan your codebase read-only, then compiles a unified report with health grade (A+ to F) and offers surgical fixes. Language-agnostic. Zero config.

A premium operating system skill for one-person companies covering triage, pipeline, sales calls, proposals, follow-ups, renewals, cash collection, weekly and monthly reviews, and practical solo-founder decisions.

Turn a name into a full dossier in seconds. Feed in a name + company (or email, or LinkedIn URL) and get back a rich profile with social links, bio, company intel, recent activity, and personalized talking points. Aggregates data from multiple public sources — LinkedIn, Twitter, GitHub, company websites, news — so you can skip the manual research and jump straight to personalized outreach. Your agent does the detective work while you close deals. Supports single enrichment, batch processing, and multiple output formats (JSON, Markdown, CRM-ready). Use when researching prospects, preparing for sales calls, personalizing cold outreach, or building lead lists. Pairs perfectly with trawl for autonomous lead gen → enrichment → outreach pipelines.

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Audio intelligence toolkit. Transcribe, search by keyword or meaning, take notes, detect chapters, identify speakers, separate audio, export clips, tag, highlights, visual context, and text-to-speech — all local, all private. 21 MCP tools for audio and video.

Use GitHub Spec Kit for Spec-Driven Development. Initialize projects, create specifications, and build software using the /speckit.* slash commands. Supports Claude Code, GitHub Copilot, Gemini CLI, and Codebuddy.

Detect prompt injection attacks and adversarial inputs in user text before passing it to your LLM. Use when you need to validate or screen user-provided text for jailbreak attempts, instruction overrides, role-play escapes, or other prompt manipulation techniques. Returns a safety verdict, risk score (0–1), and threat categories. Ideal for guarding AI pipelines, chatbots, and any application that feeds user input into a language model.

Persistent memory and instant knowledge retrieval for your OpenClaw agent. Compile 60+ file formats into queryable `.aura` archives and give your agent a 3-tier memory that survives sessions, compacti

招标数据分析报告生成技能 - 支持AI项目占比分析、年度趋势分析、TOP机构排名，自动生成Word/PDF报告，嵌入高质量图表。适用于高校招标、政府采购、企业采购等场景。

Multi-agent workflow orchestrator. Use when the user asks to build, create, make, ship, develop, or launch any software (apps, webapps, websites, mobile apps, APIs, tools, bots, dashboards, SaaS, MVPs); fix or debug bugs; review or audit code; research topics; refactor code; or publish skills.

Automatically create clips and videos from media files in a specified folder. Uses Agent Swarm for intelligent task delegation and supports cron-based scheduling.

Analyzes journal entries and chat history to identify high-value topics and automatically generate blog posts.

Creates new Overstory agents for Overclaw by updating all seven integration points (config, manifest, agent-def, gateway prompt, task_router, generate_agent_context, and regeneration). Supports manual creation and optional analysis from logs, TROUBLESHOOTING.md, mulch, and project tree.

Scans and fetches the most up-to-date documentation for coding tasks. Use when building integrations (e.g. OpenRouter), implementing third-party APIs, or when the user asks for current docs, model lists, or API reference for a service.

Mulch Self Improver — Let your agents grow 🌱. Captures learnings with Mulch so expertise compounds across sessions. Use when: command/tool fails, user corrects you, missing feature, API fails, knowledge was wrong, or better approach found. Run mulch prime at session start; mulch record before finishing. Benefits: better and more consistent coding, improved experience, less hallucination.

Formats SKILL.md (OpenClaw/Cursor skill docs) for optimal display on ClawHub. Produces a consistent structure—Description, Installation, Usage with benefit-focused examples, and Commands—so skill pages are clear and scannable.

Scans the skills folder for new, unused, or missing dependencies; fixes requirements.txt; and tests a skill in or out of sandbox.

Runs VirusTotal-style security checks on OpenClaw/Cursor skills before install, including remote code execution (RCE) and malicious code (obfuscation, exfiltration, backdoors). Use when evaluating a skill from a registry (e.g. ClawHub), before granting OAuth/API credentials, or when the user asks for a security review of a skill.

Manage Control D DNS filtering service via API. Use for DNS profile management, device configuration, custom blocking rules, service filtering, analytics settings, and network diagnostics. Triggers when user mentions Control D, DNS filtering, DNS blocking, device DNS setup, or managing DNS profiles.

Ethereum development knowledge for AI agents — from idea to deployed dApp. Fetch real-time docs on gas costs, Solidity patterns, Scaffold-ETH 2, Layer 2s, DeFi composability, security, testing, and production deployment. Use when: (1) building any Ethereum or EVM dApp, (2) writing or reviewing Solidity contracts, (3) deploying to mainnet or L2s, (4) the user asks about gas, tokens, wallets, or smart contracts, (5) any web3/blockchain/onchain development task. NOT for: trading, price checking, or portfolio management — use a trading skill for those.