Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when creating Codex, Claude Code, Gemini CLI, Cursor, or AGENTS.md runtime adapters from one canonical agent core. Use whenever a generated repo needs multiple AI runtimes without duplicating instructions.
Run Claude Code INSIDE a ca-sandbox box (`--with-claude`). Routed to when the user wants an agent loop running against an isolated, ephemeral sandbox rather than the host. Authenticates via an env-injected CLAUDE_CODE_OAUTH_TOKEN with no host bind of ~/.claude; the image pins the CLI and disables the autoupdater; HOME is backed by a named volume so the .claude state persists across restart. Five gated phases — posture, image, token, run, teardown. The hard default is offline or Anthropic-domains-only egress, and the token volume is NEVER co-mounted with an untrusted-code run; both are enforced, not advised.
Use when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a multi-agent team.
Use when creating or auditing an agent-team sitemap, Task Bias ledger, concept coverage, product surface map, validation chain, or missing-concept check.
Use when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.
Use when generating or auditing a multi-role agent team package with orchestrator, PM Soul, Memory Curator, Policy Gate, workers, eval, QA, handoffs, and runtime adapters.
Generate or refresh the local Claude adapter surface for DocMason from canonical committed sources.
Create and operate autonomous trading agents the minimal way — create the agent from just its role + purpose, prove it's alive by consulting it, then progressively improve it with routines and (optionally) a loop strategy.
子代理调度 — 将Agent激活指令翻译为运行时具体操作。当 orchestrator 将某 phase agent 激活为 subagent_type 子代理、需要派发任务并解析返回值时由本 skill 翻译执行。
Apply the AI SAFE2 v3.0 framework (161 controls across 5 pillars plus CP.1-CP.10 Cross-Pillar Governance) to design, build, audit, and govern AI agents, agentic workflows, RAG systems, MCP servers, and AI-integrated infrastructure. Classifies agents by ACT Capability Tier, enforces HEAR Doctrine for ACT-3/ACT-4, applies OWASP AIVSS v0.8 AAF risk scoring, and maps requirements to all 32 supported compliance frameworks including ISO 42001, NIST AI RMF, EU AI Act, SOC 2, HIPAA, PCI-DSS, GDPR, DORA, FedRAMP, CMMC 2.0, and SEC Disclosure. Use when building, reviewing, deploying, or auditing any AI system, agent, or agentic workflow.