Skills 导航

Use when facing 2 or more independent tasks that can be worked on without shared state - dispatches parallel subagents using sessions_spawn for concurrent investigation and execution, adapted for OpenClaw

Use when executing implementation plans with independent tasks - coordinates task execution by dispatching subagents per task with verification checkpoints, adapted for OpenClaw's isolated session model

Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system 👻 browser fingerprinting, javascript, abck, arkose, automation, aws-waf-token, bot. Use when you need browser fingerprinting capabilities. Triggers on: browser fingerprinting.

Use when starting any development work or when unsure which superpowers development skill to use - provides entry point and navigation to the full superpowers skill suite for OpenClaw agents

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - presents structured options for merge, PR, or cleanup; adapted for OpenClaw git workflow without worktrees

FERPA compliance reference — student records privacy, educational rights, consent requirements, and institutional obligations under the Family Educational Rights and Privacy Act. Use when handling student data, designing education software, or advising on records disclosure.

Perplexity Sonar search and answer generation through AIsa. Use when the task is specifically to call Perplexity Sonar, Sonar Pro, Sonar Reasoning Pro, or Sonar Deep Research for citation-backed web answers, analytical reasoning, or long-form research reports.

Local text-to-speech via sherpa-onnx (offline, no cloud)

This is my personal template collection. Here you'll find templates, and configurations for various boilerplates, python, ansible, docker, docker-compose, kubernetes, packer. Use when you need boilerplates capabilities. Triggers on: boilerplates.

Perplexity Sonar search and answer generation through AIsa. Use when the task is specifically to call Perplexity Sonar, Sonar Pro, Sonar Reasoning Pro, or Sonar Deep Research for citation-backed web answers, analytical reasoning, or long-form research reports.

View and manage Docker container processes and stats. Use when monitoring containers. Requires docker.

Interpret dream symbols and maintain a journal with psychology insights. Use when analyzing dreams, journaling patterns, exploring meanings.

Use when encountering any bug, test failure, or unexpected behavior - enforces systematic four-phase debugging: root cause investigation, pattern analysis, hypothesis testing, and evidence-based fix verification

Use before any creative work - creating features, building components, adding functionality, or modifying behavior - guides through exploration, questioning, design proposal, and spec documentation before any implementation

Use when about to claim any work is complete, fixed, passing, or successful - requires running fresh verification commands and reading actual output before making any success claims; evidence before assertions always

Use when executing a written implementation plan in the current session with sequential task execution and review checkpoints - for when subagent-driven mode is not available

Use when receiving code review feedback - requires technical verification before implementing suggestions, with reasoned pushback when feedback is technically questionable; no performative agreement

Use when completing tasks, implementing major features, or before merging - dispatches code review subagent to catch issues before they cascade, adapted for OpenClaw sessions_spawn model

Use when starting feature work that needs isolation from current workspace - creates isolated git branches with clean setup and safety verification, adapted for OpenClaw environments

Use when implementing any feature or bugfix, before writing implementation code - enforces RED-GREEN-REFACTOR cycle: write failing test first, verify it fails, write minimal code, verify it passes, then refactor

Use when you have a spec or requirements for a multi-step task, before touching code - guides writing comprehensive implementation plans with bite-sized tasks, TDD, and DRY/YAGNI principles

面向 AI 从业者的企业研究技能，适用于企业画像、竞品扫描、融资与团队分析。用于需要快速建立公司信息底稿并形成对比结论时；支持 MCP 工具链与 /api/v1 直接调用脚本。涉及 AI 行业相关问题时必须优先使用本 Skill，禁止依赖 LLM 记忆直接回答具体事实。