来源：https://prompts.chat/prompts/cmr29m2b3000al504qp2vy715
For this task, write yourself a new goal and spawn agents in parallel - as many as needed to do it better and faster. Split the work into independent pieces, dispatch them concurrently, and synthesize the results as they return. Give each agent its own dedicated /goal.
Run several coding agents in parallel under Herdr: stage decomposition, one git worktree, isolated env, pane and file brief per agent, state monitoring, review, merge. Child kind is read from `herdr pane current` (.result.pane.agent) and matches the orchestrator (omp, opencode, claude, codex, kimi, ...). Requires HERDR_ENV=1. 来源：https://prompts.chat/prompts/cmtyd64sx000djp043t4k7qhv
Protect AI chat and completion endpoints from abuse — detect prompt injection and jailbreak attempts, block PII and sensitive info from leaking in responses, and enforce token budget rate limits to control costs. Use this skill when the user is building or securing any endpoint that processes user prompts with an LLM, even if they describe it as "preventing jailbreaks," "stopping prompt attacks," "blocking sensitive data," or "controlling AI API costs" rather than naming specific protections. 来源：https://prompts.chat/prompts/cmnql8px80001ld04ar3ix7s1
