prp-orchestrate
prp-orchestrate is an Agent task delegation & fan-out skill for AI agents, published by Wirasm in the PRPs-agentic-eng repository on GitHub. Skillspace rates prp-orchestrate D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Turns the current session into the operator's SDLC proxy for parallel PRP workstreams in isolated worktrees. It owns the combined outcome, steers autonomous deliveries, holds human and merge gates, verifies proof, and sequences merges. Use when the user wants to "spawn N agents in separate worktrees", "run prp-issue on these issues in parallel", "orchestrate these features", "act as my orchestrator", "coordinate agents through the PRP pipeline", "ship these issues in parallel", or invokes $prp-orchestrate.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 2,243
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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