aggregate-logs
Generate LEARNINGS.md from skill execution logs over a configurable time window.
Start a structured review workflow with evidence logging and formatted output
> /plugin marketplace add athola/claude-night-marketHow it fires
How this command gets triggered: by you, by Claude, or both.
/structured-reviewContext preview
What this command does when you run it.
Start a structured review workflow with evidence logging and formatted output
name: structured-review description: Start a structured review workflow with evidence logging and formatted output usage: /structured-review [target]
Initializes a structured review workflow using imbue's core methodology: context establishment, scope inventory, evidence capture, and deliverable structuring.
# Start review of current branch /structured-review # Review specific target /structured-review src/auth/ # Review with specific focus /structured-review --focus security src/api/
1. **Establishes Context**: Confirms repository, branch, and comparison baseline 2. **Inventories Scope**: Lists relevant artifacts for review 3. **Prepares Evidence Log**: Initializes tracking for commands and citations 4. **Structures Deliverables**: Sets up report template with sections
This command orchestrates multiple imbue skills:
/structured-review # Output: # Review Workflow Initialized # =========================== # Repository: my-project # Branch: feature/auth-overhaul # Baseline: main (3 commits behind) # # TodoWrite items created: # - [ ] review-core:context-established # - [ ] review-core:scope-inventoried # - [ ] review-core:evidence-captured # - [ ] review-core:deliverables-structured /structured-review src/api --focus performance # Scoped review with performance focus
Creates structured review scaffold with:
When invoked with `--mode feature` or `--features`, structured-review runs a feature-focused review workflow (formerly the standalone `/feature-review` command). This mode discovers, classifies, scores, and suggests features using evidence-based prioritization.
# Full feature review: inventory, score, suggest /structured-review --mode feature # Only inventory current features /structured-review --mode feature --inventory # Generate new feature suggestions /structured-review --mode feature --suggest # Create GitHub issues for accepted suggestions /structured-review --mode feature --suggest --create-issues # Validate configuration file /structured-review --mode feature --validate-config
1. **Discovers** implemented features from codebase (commands, skills, agents, hooks, APIs) 2. **Classifies** features as proactive/reactive and static/dynamic 3. **Scores** features using hybrid RICE+WSJF framework 4. **Analyzes** tradeoffs across quality dimensions (Quality, Latency, Token Usage, Resource Usage, Redundancy, Readability, Scalability, Integration, API Surface) 5. **Suggests** new features based on gaps and opportunities 6. **Creates** GitHub issues for accepted suggestions (with `--create-issues`)
Score = (Value Score / Cost Score) * Confidence
**Thresholds:**
Create `.feature-review.yaml` in project root to customize scoring weights, classification patterns, tradeoff dimension weights, and GitHub integration settings. See `Skill(imbue:feature-review)` for full configuration reference.
This mode uses:
A plugin marketplace for Claude Code. Install only the plugins you need to run git workflows, code review, spec-driven development, and autonomous agents from inside your Claude Code session.
Generate LEARNINGS.md from skill execution logs over a configurable time window.
Analyze skill file complexity metrics and generate modularization recommendations for splitting or progressive loading.
Scaffold new Claude Code skills with brainstorming, TDD methodology, and proper frontmatter and module structure.