workspace-health
Assess workspace alignment and recommend cleanup or realignment actions at key lifecycle transition points
Best use case
workspace-health is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
It is a strong fit for teams already working in Codex.
Assess workspace alignment and recommend cleanup or realignment actions at key lifecycle transition points
Teams using workspace-health should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/workspace-health/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How workspace-health Compares
| Feature / Agent | workspace-health | Standard Approach |
|---|---|---|
| Platform Support | Codex | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Assess workspace alignment and recommend cleanup or realignment actions at key lifecycle transition points
Which AI agents support this skill?
This skill is designed for Codex.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Workspace Health Check Skill
Assesses workspace alignment and suggests cleanup or realignment actions at key transition points.
## Kernel Delegation
> As of ADR-021, `workspace-health` delegates structural checks to the semantic memory kernel.
**Delegation pattern**:
1. `workspace-health` retains its consumer-neutral health-check UX
2. Runs `memory-lint` for every installed framework in `.aiwg/frameworks/registry.json`
3. Aggregates results across all consumers into a unified report
4. `aiwg doctor` continues to call this skill unchanged
**Backward compatibility**: No UX changes. Output format unchanged.
@agentic/code/addons/semantic-memory/skills/memory-lint/SKILL.md
## Triggers
Alternate expressions and non-obvious activations (primary phrases are matched automatically from the skill description):
- "do I need to realign" → workspace realignment check
- "is my workspace aligned" → alignment status check
- "cleanup recommendations" → workspace prune suggestions
Auto-triggers:
- After phase transition flow commands complete
- After completing major features or intensive processes
## Trigger Conditions Reference
This skill is commonly invoked:
- At the end of phase transitions (flow commands)
- After completing major features or intensive processes
- When documentation appears out of sync
- Manually via natural language phrases above
## Assessment Checklist
### 1. Working Directory Health
```yaml
checks:
- name: working_directory_size
description: Check if .aiwg/working/ has accumulated stale files
threshold: ">10 files or >1MB"
action: Suggest /workspace-prune-working
- name: orphan_drafts
description: Draft artifacts not linked to requirements
action: Suggest review or archival
- name: stale_locks
description: Lock files older than 24h
action: Suggest cleanup
```
### 2. Documentation Alignment
```yaml
checks:
- name: phase_documentation
description: Current phase docs match project state
sources:
- .aiwg/planning/phase-plan-*.md
- .aiwg/reports/*-completion-report.md
action: Suggest /workspace-realign if mismatched
- name: requirement_coverage
description: All requirements have linked artifacts
action: Suggest /check-traceability
- name: architecture_drift
description: Code diverged from documented architecture
action: Suggest architecture review or ADR update
```
### 3. Artifact Freshness
```yaml
checks:
- name: stale_artifacts
description: Key artifacts not updated in >30 days during active dev
artifacts:
- SAD (Software Architecture Document)
- Risk Register
- Test Strategy
action: Flag for review
- name: completion_markers
description: Artifacts marked complete but phase still active
action: Suggest status update
```
## Output Format
```markdown
## Workspace Health Report
**Overall Status**: [Healthy | Needs Attention | Requires Realignment]
### Quick Actions
- [ ] Run `/workspace-prune-working` - 15 stale files in working/
- [ ] Review 3 orphaned draft artifacts
- [ ] Update risk register (last modified 45 days ago)
### Detailed Findings
#### Working Directory
- Status: Needs cleanup
- Files: 15 (threshold: 10)
- Oldest: inception-notes-draft.md (created 2024-11-15)
- Recommendation: Promote or archive before next phase
#### Documentation Alignment
- Phase: Construction
- Last phase report: Elaboration completion (2024-12-01)
- Missing: Construction kickoff documentation
- Recommendation: Run `/flow-elaboration-to-construction` completion steps
#### Traceability
- Requirements covered: 85%
- Orphan code files: 3
- Recommendation: Run `/check-traceability` for details
```
## Integration Points
### Flow Command Endings
Add to flow command templates:
```markdown
## Post-Completion
After this flow completes, consider running a workspace health check:
[workspace-health] Assessing workspace alignment...
If issues found, the skill will suggest appropriate cleanup commands.
```
### Proactive Invocation
The orchestrator should invoke this skill:
1. When transitioning between SDLC phases
2. After completing iteration cycles
3. When user requests project status
4. Before major deployments
## Implementation Notes
This skill should:
1. Read workspace state from `.aiwg/` structure
2. Compare against expected state for current phase
3. Generate actionable recommendations
4. NOT automatically execute cleanup (user confirms)
## Related Commands
- `/workspace-prune-working` - Clean up working directory
- `/workspace-realign` - Reorganize documentation structure
- `/workspace-reset` - Full workspace reset (destructive)
- `/project-status` - Current project state
- `/check-traceability` - Verify requirement links
## References
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/README.md — aiwg-utils addon overview
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/human-authorization.md — Report findings and await user authorization before cleanup
- @$AIWG_ROOT/agentic/code/addons/aiwg-utils/rules/vague-discretion.md — Concrete thresholds for health checks (file count, age)
- @$AIWG_ROOT/agentic/code/frameworks/sdlc-complete/README.md — SDLC phase structure that workspace health is measured againstRelated Skills
workspace-reset
Wipe .aiwg/ directory and optionally restart with fresh intake
workspace-realign
Reorganize and update .aiwg/ documentation to reflect current project reality
workspace-prune-working
Clean up .aiwg/working/ by promoting, archiving, or deleting temporary files
rollback-workspace
Restore the .aiwg/ directory from a migrate-workspace backup, listing available backups when none is specified
project-health-check
Analyze overall project health and metrics
migrate-workspace
Migrate the .aiwg/ directory from single-framework layout to the multi-framework layout with an automatic backup
kb-health
Lint and health-check the knowledge base. Finds orphan pages, missing cross-references, stale claims, broken wiki-links, and regenerates the index.
corpus-health
Report on research corpus health, completeness, and integrity
codebase-health
Scan source code and report agent-readiness metrics with actionable recommendations
aiwg-orchestrate
Route structured artifact work to AIWG workflows via MCP with zero parent context cost
venv-manager
Create, manage, and validate Python virtual environments. Use for project isolation and dependency management.
pytest-runner
Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.