evaluate-spawn
This skill should be used when the user asks to evaluate a completed team spawn session, capture session learnings, or review how a spawn went. Use this skill when the user says "evaluate spawn", "evaluate-spawn", "how did the spawn go", "capture learnings", "review spawn session", "spawn retrospective", or at the soft prompt after a team completes its work. This is a voluntary post-spawn evaluation with profile-based questions tailored to all spawn types (build, think, create). Build profile asks up to 4 questions (3 explicit + 1 conditional gate bypass); Think and Create profiles ask up to 3 questions (2 explicit + 1 gate bypass). Hard cap includes auto-derived scenario coverage for Build.
What this skill does
# Post-Spawn Evaluation
Voluntary evaluation skill that captures session learnings after a team completes its work. Uses **profile-based evaluation** — each spawn category gets questions answerable at the moment of completion. Produces structured retrospective data written to `docs/retrospectives/[team-name].md`.
Distinct from `/after-action-review`: this skill evaluates **output quality** (spec scoring accuracy, scenario coverage, gate-bypass calibration). AAR evaluates **team process** (effectiveness, coordination patterns). Both write to `docs/retrospectives/` and can run in the same session.
## When to Use
- After any team spawn completes — feature, debug, research, planning, review, design, brainstorm, productivity
- Prompted via soft suggestion in spawn completion messages — never blocks session end
- Can also be invoked manually at any time: `/evaluate-spawn`
## Profile Selection
Detect the spawn type from the team name pattern (e.g., `feature-*`, `research-*`, `design-*`) or from `docs/teams/[team-name]/` artifacts. If the type cannot be determined, ask:
**"What type of spawn was this?"**
| Option | Maps to profile |
|---|---|
| Feature or Debug | Build |
| Research, Planning, or Review | Think |
| Design, Brainstorm, or Productivity | Create |
Route to the matching profile below.
---
## Build Profile (feature, debug)
Spec-driven teams that produce code. Has auto-derived scenario coverage, three explicit questions (plus one conditional gate bypass question), and a deferred section.
### Auto-Derived: Scenario Coverage
Parse the Tester's `### Scenario Notes` table from the team's task output or `docs/teams/[team-name]/` artifacts. The expected format (from `shared/scenario-collection.md`):
```markdown
### Scenario Notes
| Scenario | Status | Notes |
|---|---|---|
| [name] | Validated / Invalidated / Partial | [details] |
```
Count statuses:
- **Validated**: scenarios confirmed working
- **Invalidated**: scenarios that failed
- **Partial**: scenarios partially satisfied
Report as: `N validated / M total (X%)`. If no `### Scenario Notes` table is found, record `scenario-coverage: "no table found"`.
### Question 1: Setup Alignment
**"Did the discovery setup capture what mattered for the implementation?"**
| Option | Description |
|---|---|
| Yes — setup covered the key areas | Discovery interview and spec captured the important requirements |
| Partially — missed some areas | Some important aspects weren't surfaced during setup |
| No — setup missed the point | The discovery interview or spec fundamentally misaligned with the real need |
### Question 2: Gap Identification (conditional)
Only ask if Question 1 answer is **not** "Yes":
**"What did the setup miss, and where should it have been caught?"**
Free text answer for what was missed, followed by:
| Option | Description |
|---|---|
| Discovery interview should have asked | The core interview questions didn't cover this area |
| Spec refinement should have surfaced it | The refinement step should have caught this edge case |
| Scoring should have flagged it | A low score on a dimension should have prompted rework |
| Team should have caught it during work | The spec was fine — the team missed something it covered |
### Question 3: Score Accuracy
**"Did the spec quality score reflect actual implementation difficulty? (A higher score should predict an easier build.)"**
| Option | Value written to frontmatter |
|---|---|
| Matched — score reflected actual difficulty | `score-accuracy: matched` |
| Score too optimistic — build was harder than the score suggested | `score-accuracy: too-optimistic` |
| Score too pessimistic — build was easier than the score suggested | `score-accuracy: too-pessimistic` |
| No spec score was used | `score-accuracy: not-scored` |
### Question 4: Gate Bypass (conditional)
Only ask if `spec-score:` frontmatter value is present AND the score was below the gate threshold (default: 4/6):
**"The spec quality gate showed a score below threshold. Did you proceed anyway, and if so, was that the right call?"**
| Option | Value written to frontmatter |
|---|---|
| Did not bypass — I refined the spec first | `gate-bypassed: false` |
| Bypassed — override was correct (spec was sufficient despite score) | `gate-bypassed: true`, `bypass-verdict: correct` |
| Bypassed — should have refined spec first | `gate-bypassed: true`, `bypass-verdict: should-have-refined` |
If score met or exceeded threshold (no bypass scenario): write `gate-bypassed: false` to frontmatter without asking.
### Deferred Section
These items cannot be evaluated at spawn completion. They are included as checkboxes in the retrospective file for the user to fill in during periodic rubric reviews:
- [ ] **First fix** — What was the first thing you had to fix after using the output?
### Build Profile Output
Write to `docs/retrospectives/[team-name].md` using the Build Profile template at `${CLAUDE_PLUGIN_ROOT}/skills/evaluate-spawn/references/build-template.md`. The template defines the exact frontmatter schema and body structure.
---
## Think Profile (research, planning, review)
Analysis-driven teams that produce documents, decisions, recommendations.
### Question 1: Coverage
**"Did the team investigate the right questions and areas?"**
| Option | Description |
|---|---|
| Yes — covered the important ground | The analysis addressed the key questions and areas |
| Partially — some gaps | Important questions were addressed but some areas were missed |
| No — wrong focus | The team spent effort on the wrong areas |
### Question 1a: Expected Outcomes Validation (conditional)
Only ask if `### Expected Outcomes` section is present in the team's Context block (check `docs/teams/[team-name]/` artifacts):
**"Did the output address the Expected Outcomes defined before spawning?"**
| Option | Description |
|---|---|
| Yes — all outcomes addressed | The output answered the decision question / met the plan criteria at the specified confidence level |
| Partially — some outcomes addressed | Some outcomes were met but others were not addressed |
| No — outcomes not addressed | The output did not address the pre-spawn definition of done |
Write outcome verdict to retrospective as: `outcomes-addressed: all|partial|none`
If `### Expected Outcomes` section is NOT present: skip Question 1a entirely.
### Question 2: Blind Spots (conditional)
Only ask if Question 1 answer is **not** "Yes":
**"What important angle or concern was missed, and where should it have been caught?"**
Free text answer for what was missed, followed by:
| Option | Description |
|---|---|
| Discovery interview should have scoped it | The initial framing didn't include this angle |
| Team lead should have directed it | The lead's task breakdown missed this area |
| Teammates should have identified it | A teammate with the right focus area should have raised this |
### Question 3: Gate Bypass
**"Did you override the spec quality gate (or skip it) when setting up this spawn? If so, was that the right call?"**
| Option | Value written to frontmatter |
|---|---|
| No override — gate was not triggered or spec was not scored | `gate-bypassed: false` |
| Bypassed — override was correct | `gate-bypassed: true`, `bypass-verdict: correct` |
| Bypassed — should have refined spec first | `gate-bypassed: true`, `bypass-verdict: should-have-refined` |
### Think Profile Output
Write to `docs/retrospectives/[team-name].md` using the Think Profile template at `${CLAUDE_PLUGIN_ROOT}/skills/evaluate-spawn/references/think-template.md`.
---
## Create Profile (design, brainstorm, productivity)
Creative/output-driven teams that produce ideas, concepts, artifacts, or workflow improvements.
### Question 1: Relevance
**"Did the output address the right problem space?"**
| Option | Description |
|---|---|
| Yes — targeted the actual need | The deliverables address the real problem or opportunity |
| Partially — some drift | ParRelated in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.