proof-of-work
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →proof-of-work
review-core
scope-guard
structured-output
workflow-monitor
deferred-capture
pytest-config
Stewardship virtues (Care, Curiosity, Humility, Diligence) for plugins
Cross-plugin testing quality metrics, coverage thresholds, and anti-patterns
Consult this skill when implementing usage logging and audit trails
knowledge-intake
Capture and retrieve PR review knowledge in project memory palaces
Build session-scoped temporary knowledge structures for multi-step projects
python-testing
safety-critical-patterns
tiered-audit
unified-review
commit-messages
do-issue
doc-updates
git-workspace-review
pr-prep
Scope-focused PR review with requirements validation and backlog triage
test-updates
tutorial-updates
Retrospective evaluation and improvement of skills, agents, commands, and hooks
Generate or remediate documentation with human-quality writing and style
doc-importer
session-replay
session-to-post
Detect and flag AI-generated content markers in documentation and prose
Plan, draft, and refine technical tutorials for developers
speckit-orchestrator
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User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task.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.
Kaspa News — let your Claw know everything about Kaspa in one place: latest news, core development updates, ecosystem launches, community talks, and weekly reports summary. Use when someone asks what’s happening with Kaspa now, including dev/builder activity, top tweets, videos, and Reddit updates. No API keys needed.
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.
Turn your OpenClaw agent into an autonomous worker on [WorkProtocol](https://workprotocol.ai) — the open marketplace for AI agent work.
Define security policies for your workspace and audit compliance. Check installed skills against command, network, and data handling rules. Generate audit-ready compliance reports.
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Unified security suite for agent workspaces. Installs, configures, and orchestrates all 11 OpenClaw security tools in one command — integrity, secrets, permissions, network, audit trail, signing, supply chain, credentials, injection defense, compliance, and incident response.
**Save 30-50% on model costs through intelligent, automatic model selection.**
Protects your credential lifecycle — not just finding secrets in source code (that's what Sentry does), but tracking how credentials are exposed through services, permissions, history, configs, contai
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.
Reliable runbook for scheduled reminders and notification workflows with OpenClaw cron. Use when creating or reviewing reminder skills, scheduling one-shot or recurring reminders, choosing between systemEvent and agentTurn payloads, selecting the correct sessionTarget, writing reminder text that will still read clearly when delivered later, validating whether a job actually fired, or troubleshooting why a scheduled notification did not deliver as expected. Especially useful for ClawHub-published skills that need production-safe reminder behavior instead of ad hoc cron setup.
Control a remote Obsidian vault through Fast Note Sync. Use when reading, searching, writing, or appending notes in Obsidian from OpenClaw, especially for remote vault workflows that do not have direct filesystem access.
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.
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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.
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