assign-to-workforce

assign-to-workforce is an Agent task delegation & fan-out skill for AI agents, published by agentculture in the culture repository on GitHub. Skillspace rates assign-to-workforce D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Fan out a converged devague plan's dependency waves to parallel agents in isolated git worktrees, one agent per task per wave, with TDD-gated merges by the main agent. Human gates: the exported spec, the implementation split plan (task map + per-task agent/model proposal + go/no-go), and the final PR. The devague CLI stays deterministic and non-orchestrating (#20) — it only *describes* the graph via `devague plan waves`; the operator (main agent) performs the fan-out. Use when the user says "assign to workforce", "fan out the plan", "parallel subagents", or after /spec-to-plan exports a plan. Authored and maintained in agentculture/devague (origin = devague); guildmaster re-broadcasts it to the AgentCulture mesh — it originates in devague, not guildmaster (the supplier post steward→guildmaster cutover).

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
110

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
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked 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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