alivesystem-cleanup
FeaturedThe world feels messy. Stale tasks, orphan folders, v2 remnants, unsaved sessions — entropy is accumulating and needs to be addressed before it compounds. Scans across all walnuts, then surfaces issues one at a time.
AI & Automation 127 stars
8 forks Updated today MIT
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Quality Score: 90/100
Stars 20%
Recency 20%
Frontmatter 20%
Documentation 15%
Issue Health 10%
License 10%
Description 5%
Skill Content
# Tidy
System maintenance. Root health first, then one walnut at a time. Surfaces issues with recommended fixes — the human picks.
Not a dashboard (that's world). Not a search (that's find). Not session history (that's alive:session-history). Pure maintenance.
---
## v3 Architecture Reference
Walnut structure is flat under `_kernel/`:
```
walnut-name/
_kernel/
key.md
log.md
insights.md
tasks.json
now.json
completed.json
bundle-a/
context.manifest.yaml
raw/
bundle-b/
context.manifest.yaml
```
There is NO `_kernel/_generated/` subdirectory. There is NO `bundles/` container directory. Bundles sit as direct children of the walnut root alongside `_kernel/`.
Task operations go through `tasks.py`, never by reading/writing task files directly:
- `tasks.py list --walnut {path}` — all active tasks as JSON
- `tasks.py list --walnut {path} --status active` — filter by status
- `tasks.py summary --walnut {path}` — structured summary with counts
Projection rebuilds go through `project.py`:
- `project.py --walnut {path}` — rebuilds `_kernel/now.json`
---
## Three-Phase Flow
```
Phase 1: Root Audit (system-level, 7 checks — parallel subagents)
|
Phase 2: Walnut Summary (single subagent scans frontmatter, human picks)
|
Phase 3: Deep Audit (one walnut, 12 checks — parallel subagents)
```
---
## Subagent Strategy (non-negotiable)
Tidy is read-heavy. Every phase uses subagents to keep the main context clean.
**Discovery subagents...
Details
- Author
- alivecontext
- Repository
- alivecontext/alive
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
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