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Found 1,980 Skills
Generate contextual briefings for legal work — daily summary, topic research, or incident response. Use when starting your day and need a scan of legal-relevant items across email, calendar, and contracts, when researching a specific legal question across internal sources, or when a developing situation (data breach, litigation threat, regulatory inquiry) needs rapid context.
Synthesize unstructured thinking into a structured, actionable plan. Use when user provides stream-of-consciousness thoughts, scattered notes, or a brain dump and needs them organized into a coherent plan with goals, actions, and priorities. Trigger phrases: "synthesize", "organize my thoughts", "turn this into a plan", "make sense of this", "structure this", "formalize these notes", "what should I do with all this".
Generate complete automated TDD development pipelines from a todolist.md file. Creates a self-contained directory with autodev.sh, system_prompt.md, gate_check.sh, and task cards that drive Claude Code through spec-anchored, gate-guarded, card-by-card development — fully automated with no human in the loop. Features: TDD 5-step closure, 3-level AI decision protocol, independent acceptance verification, auto-repair on test failure, Bug Hunt phase for post-development P0/P1/P2 bug scanning and fixing. Use when user says "帮我生成 autodev", "create autodev for", "generate autodev pipeline", or needs to turn a todolist.md into an automated gated TDD development pipeline.
Check for security risks in Skills/code repositories. When the user wants to check if a skill, GitHub repository, npm package, or local code is safe to download or use. This includes detecting malicious code, malware, key stealing, environment variable modification, suspicious network behavior, and evaluating repository reputation (stars, forks, contributors, age). Use this skill whenever the user mentions checking skills for security risks, scanning repositories for malware, verifying code safety, checking npm packages for threats, or asking if a download is safe.
Production-grade multi-tenant SaaS platform architecture with three-panel separation, zero-trust security, strict tenant isolation, and comprehensive audit trails. Use for designing multi-tenant systems, implementing tenant-scoped permissions, ensuring data isolation, and building scalable SaaS platforms.
subject not detected, hand pose missing landmarks, low confidence observations, Vision performance, coordinate conversion, VisionKit errors, observation nil, text not recognized, barcode not detected, DataScannerViewController not working, document scan issues
Run a comprehensive multi-perspective code review on current changes. Activates the Review Council (security, quality, documentation, domain review) and runs automated security scanning. Use before creating a pull request or when you want a thorough review of your work.
Run Lighthouse CLI audits for websites and web applications from environment setup through result interpretation. Use when the user wants to audit performance, accessibility, SEO, best practices, PWA readiness, Core Web Vitals, Lighthouse CI, batch URL scans, localhost pages, or production pages. Trigger this skill for Lighthouse setup and troubleshooting in Linux or WSL, browser launcher failures such as "Cannot find Chrome" or "ECONNREFUSED 127.0.0.1", Chrome or Chromium detection issues, PageSpeed-style analysis requests, or any request to generate Lighthouse HTML and JSON reports with actionable recommendations.
Perses plugin scaffolding and creation: select plugin type (Panel, Datasource, Query, Variable, Explore), generate with percli plugin generate, implement CUE schema and React component, test with percli plugin start, build archive with percli plugin build. Use for "create perses plugin", "new panel plugin", "new datasource plugin", "perses plugin scaffold". Do NOT use for dashboard creation (use perses-dashboard-create).
ML supply chain security scanner. Scans model files, scores risk (0-100), maps to 5 global compliance frameworks (ISM-2072, EU AI Act, OWASP LLM, MITRE ATLAS, NIST AI RMF), and provides remediation steps. Zero-config, auto-installs scanners. Use when the user asks to scan a model, check if a model is safe, audit ML security posture, check compliance, inspect pickle/safetensors/pytorch files, or mentions model supply chain security. Also trigger on ISM-2072, EU AI Act, OWASP LLM06, model risk score, "is this model safe", "scan my models", "check compliance".
Comprehensive security scanning and vulnerability detection. Includes input validation, path traversal prevention, CVE detection, and secure coding pattern enforcement. Use when: authentication implementation, authorization logic, payment processing, user data handling, API endpoint creation, file upload handling, database queries, external API integration. Skip when: read-only operations on public data, internal development tooling, static documentation, styling changes.
Design and implement lead routing and assignment rules — round-robin, territory-based, score-based, and account-based models. Use when designing how leads get assigned to reps, building routing rules in your CRM, optimizing speed-to-lead, setting up territory assignments, configuring lead queues, or scaling assignment as your team grows. Do NOT use for lead scoring model design (use /sales-lead-score), CRM platform configuration (use /sales-apollo or /sales-salesloft), or marketing-to-sales handoff process (use /revops).