Mac cleanup & optimization tool combining CleanMyMac, AppCleaner, DaisyDisk features. Deep cleaning, smart uninstaller, disk insights, and project artifact purge.
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 →Mac cleanup & optimization tool combining CleanMyMac, AppCleaner, DaisyDisk features. Deep cleaning, smart uninstaller, disk insights, and project artifact purge.
Create and manage Product Requirements Documents (PRDs). Use when: (1) Creating structured task lists with user stories, (2) Specifying features with acceptance criteria, (3) Planning feature implementation for AI agents or human developers.
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Security vitals checker for OpenClaw. Scans your installation, scores your setup, and shows you exactly what to fix. First scan in seconds.
CLI for Yandex Tracker (bash + curl). Queues, issues, comments, worklogs, attachments, YQL.
**Get live on the SwarmSync marketplace in ~60 seconds.**
AI Virtual Memory for agents. Token-aware recall, knowledge graphs, multi-agent support.
Enhance video resolution using Alibaba Cloud Super Resolution API. Use when the user wants to: (1) upscale low-res videos to higher resolution, (2) improve video quality before publishing, or (3) convert 480p videos to 1080p.
Generate subtitles with automatic time alignment using Volcengine ATA API. Use when the user wants to: (1) add time-aligned subtitles to videos, (2) convert text + audio to SRT/ASS format, or (3) automate subtitle creation workflow.
Manage 4todo (4to.do) from chat. Capture tasks, prioritize with the Eisenhower Matrix, reorder, complete, and manage recurring tasks across workspaces.
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**Keywords**: Stellar, XLM, Soroban, Lumen, USDC, Stellar DEX, Horizon, Stellar Expert, Reflector oracle, x402, MPP, micropayments, Stellar wallet, pay-per-call, agent tools, search, research, screens
Create music with MiniMax music models (e.g., music-2.5). Use when generating songs or instrumental tracks from lyrics and style prompts, or when integrating MiniMax Music Generation API into scripts.
AI-powered visual frontend editing in your browser. Click any element in your running app, describe changes in plain English, and get real source file edits with instant hot reload. Works with Next.js, Astro, and Vite.
Query and manage your heavy equipment fleet through FieldFix's API. Track machines, log maintenance, monitor expenses, and get AI diagnostics.
Interact with the Nerve Kanban board API. CRUD tasks, manage workflow (execute, approve, reject, abort), handle proposals, configure the board. All endpoints are under /api/kanban on the Nerve server.
Cloud-hosted markdown collaboration for agents and humans. One API call to create, one link to share. End-to-end encrypted, no account required.
Autonomous spec-driven development with OpenSpec CLI and Claude Code. You orchestrate (draft artifacts, make judgment calls, ship PRs) while Claude Code reviews with real codebase access and implements tasks. Use when: (1) making any code change in a repo that uses OpenSpec, (2) creating or modifying proposals, designs, specs, or task breakdowns, (3) shipping PRs that need spec artifacts, (4) setting up auto-archive CI for OpenSpec repos. Covers the full lifecycle: issue → OpenSpec artifacts → Claude Code review → Claude Code implementation → PR → auto-archive on merge. Requires: openspec CLI, claude CLI (Claude Code), gh CLI, git.
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Megasquirt ECU tuning and calibration using TunerStudio. Use when working with Megasquirt engine management systems for: (1) VE table tuning and fuel map optimization, (2) Ignition timing maps and spark advance, (3) Idle control and warmup enrichment, (4) AFR target tuning and closed-loop feedback, (5) Sensor calibration (TPS, MAP, CLT, IAT, O2), (6) Acceleration enrichment and deceleration fuel cut, (7) Boost control and launch control setup, (8) Datalog analysis and troubleshooting, (9) Base engine configuration and injector setup, (10) MSQ tune file analysis and safety review, (11) Any Megasquirt/TunerStudio ECU tuning tasks.
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.
企业知识库治理引擎,提供智能分块、去重、标签分类、质量评分与版本管理,解决RAG“垃圾进垃圾出”痛点
Analyzes git commit patterns to monitor autonomous operation health. Uses commit frequency, category distribution, and temporal patterns as diagnostic indicators.
Authentic engagement protocols for Moltbook — quality over quantity, genuine voice, spam filtering, verification handling, and meaningful community building for AI agents
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This is a **skill package** that lets an agent submit **any problem signal** into CleanApp (bugs, incidents, scams, UX friction, policy violations, safety hazards, improvement proposals) using the **F
Framework for building AI agents that evolve with their owner. Use when: setting up a new agent from scratch, onboarding a team to AI-native workflow, explaining the architecture to others, or auditing an existing agent setup for gaps.
Load context from past sessions. Three modes: temporal (what did I work on yesterday/last week), topic (semantic search across sessions and notes), and graph (visual map of session-file relationships). Every recall ends with One Thing — the single highest-leverage next action.
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Mine BOTCOIN by solving AI challenges on Base with stake-gated V3 mining.
Infrastructure automation with Ansible. Use for server provisioning, configuration management, application deployment, and multi-host orchestration. Includes playbooks for OpenClaw VPS setup, security hardening, and common server configurations.
Self-governance protocol for autonomous agents: WAL (Write-Ahead Log), VBR (Verify Before Reporting), ADL (Anti-Divergence Limit), VFM (Value-For-Money), and IKL (Infrastructure Knowledge Logging). Use when: (1) receiving a user correction — log it before responding, (2) making an important decision or analysis — log it before continuing, (3) pre-compaction memory flush — flush the working buffer to WAL, (4) session start — replay unapplied WAL entries to restore lost context, (5) any time you want to ensure something survives compaction, (6) before claiming a task is done — verify it, (7) periodic self-check — am I drifting from my persona? (8) cost tracking — was that expensive operation worth it? (9) discovering infrastructure — log hardware/service specs immediately.
You are **mighty**. You were built to solve hard problems. Resistance is a signal to go deeper — not to stop.
Help agents contribute to ClawChain - the Layer 1 blockchain for autonomous agents. Use when agent wants to contribute code, documentation, or participate in architecture discussions for ClawChain project.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
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> 🪨 why use many token when few token do trick
EvoClaw Tiered Memory Architecture v2.2.0 - LLM-powered three-tier memory system with automatic daily note ingestion, structured metadata extraction, URL preservation, validation, and cloud-first sync.
TypeScript language server providing type checking, code intelligence, and LSP diagnostics for .ts, .tsx, .js, .jsx, .mts, .cts, .mjs, .cjs files. Use when working with TypeScript or JavaScript code that needs type checking, autocomplete, error detection, refactoring support, or code navigation.
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distributed-state-recovery
Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.
Design GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.
Use when the user asks to perform security audits, penetration testing, vulnerability scanning, OWASP Top 10 checks, or offensive security assessments. Covers static analysis, dependency scanning, secret detection, API security testing, and pen test report generation.