Conciseness

Dense and operational throughout — tables, commands, and protocols with no padding explaining concepts Claude already knows (no "what is a git worktree" filler). Minor trims possible (the Installation section and the illustrative example post). Not 5: a few sections (example board post, Installation) don't fully earn their tokens; not 3: there is no unnecessary explanation, only minor tightening opportunities.

Actionability

Fully executable guidance: concrete slash-command table, exact invocations like "python scripts/result_ranker.py --session {id} --eval-cmd \"pytest bench.py --json\" --metric p50_ms --direction lower", "git merge --no-ff", "git tag hub/archive/{session}/agent-{i}", a copy-paste agent dispatch prompt, and a state-transition table with explicit triggers. Covers the common cases end to end.

Workflow Clarity

The INIT → DISPATCH → MONITOR → EVALUATE → MERGE lifecycle is clearly sequenced, each phase names its command, and the Proactive Triggers table provides error-recovery feedback loops (all agents crashed, no improvement over baseline, orphan worktrees, stuck session). Not 5: this batch/destructive workflow (merging, archiving losers, cleaning up worktrees) lacks an explicit verification checkpoint before the destructive merge/cleanup step — e.g. confirming the winner passes the baseline before merging and that the merge is clean before worktree removal. Not 3: validation is present in substance (eval gates the merge) with only minor gaps.

Progressive Disclosure

Structure is well-sectioned and "references/agent-templates.md" is a real, clearly signaled reference, but the other two bundle references (references/dag-patterns.md and references/coordination-strategies.md) are never mentioned anywhere in the body, while their content (DAG model, frontier detection, branch naming, fan-out coordination) is partially duplicated inline in the DAG Model and Coordinator Protocol sections. The Scripts table also omits the bundled dry_run.py. Not 4: two of three references are orphaned and inlined content overlaps them; not 2: the document is well-organized, not a monolithic wall.

Specificity

Lists multiple specific concrete actions covering the full lifecycle — "spawns N parallel subagents competing on the same task via git worktree isolation", "results are evaluated by metric or LLM judge", and "the best branch is merged" — with comprehensive coverage of the skill's function. Not 4: there are no meaningful gaps in coverage of what the skill does.

Completeness

Explicitly answers both: a clear what ("spawns N parallel subagents competing... evaluated by metric or LLM judge... best branch is merged") and an explicit when ("Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration"), plus a concrete requirement ("Requires: a git repo"). Matches the anchor-5 example pattern exactly.

Trigger Term Quality

Good natural keyword coverage — "multiple approaches tried in parallel", "code optimization", "content variation", "research exploration", "parallel competition" — but common variations users would say are missing (e.g. "fan-out", "tournament", "A/B test", "compare solutions"), several of which appear in the body's trigger list but not the description. Not 5: synonym coverage is incomplete; not 3: several natural, user-voiced phrases are present.

Distinctiveness Conflict Risk

Clear niche — N agents competing in isolated git worktrees with winner-merge — with distinct trigger phrasing; minimal overlap risk with general orchestration or single-agent optimization skills. Uses third person throughout, so no voice penalty applies.