parallelize
parallelize is an Agent task delegation & fan-out skill for AI agents, published by gweslab in the cerf repository on GitHub. Skillspace rates parallelize D (68/100) and it passed the safety scan; the rating is based on static analysis only.
When the user wants to speed up a well-scoped task by splitting it across subagents, invoke this skill. A writing subagent is a competent worker — it reads CLAUDE.md, understands context, and writes real code — NOT a dumb text editor (so don't pre-write its diff) and NOT an orchestrator (so don't hand it architecture). The skill forces the main agent to keep architecture / orchestration / sequencing itself, carve off small, clearly-scoped, non-architectural, file-disjoint, independent coding tasks with explicit boundaries, propose the split AND what it keeps, wait for approval before spawning, and verify every subagent's diff (output is never trusted). Invoke when the user types `/parallelize …` or asks to split / fan-out / parallelize work across agents.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 61
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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