status
Memory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations.
Best use case
status is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Memory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations.
Teams using status 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/status/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How status Compares
| Feature / Agent | status | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Memory health dashboard showing line counts, topic files, capacity, stale entries, and recommendations.
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
# /si:status — Memory Health Dashboard
Quick overview of your project's memory state across all memory systems.
## Usage
```
/si:status # Full dashboard
/si:status --brief # One-line summary
```
## What It Reports
### Step 1: Locate all memory files
```bash
# Auto-memory directory
MEMORY_DIR="$HOME/.claude/projects/$(pwd | sed 's|/|%2F|g; s|%2F|/|; s|^/||')/memory"
# Count lines in MEMORY.md
wc -l "$MEMORY_DIR/MEMORY.md" 2>/dev/null || echo "0"
# List topic files
ls "$MEMORY_DIR/"*.md 2>/dev/null | grep -v MEMORY.md
# CLAUDE.md
wc -l ./CLAUDE.md 2>/dev/null || echo "0"
wc -l ~/.claude/CLAUDE.md 2>/dev/null || echo "0"
# Rules directory
ls .claude/rules/*.md 2>/dev/null | wc -l
```
### Step 2: Analyze capacity
| Metric | Healthy | Warning | Critical |
|--------|---------|---------|----------|
| MEMORY.md lines | < 120 | 120-180 | > 180 |
| CLAUDE.md lines | < 150 | 150-200 | > 200 |
| Topic files | 0-3 | 4-6 | > 6 |
| Stale entries | 0 | 1-3 | > 3 |
### Step 3: Quick stale check
For each MEMORY.md entry that references a file path:
```bash
# Verify referenced files still exist
grep -oE '[a-zA-Z0-9_/.-]+\.(ts|js|py|md|json|yaml|yml)' "$MEMORY_DIR/MEMORY.md" | while read f; do
[ ! -f "$f" ] && echo "STALE: $f"
done
```
### Step 4: Output
```
📊 Memory Status
Auto-Memory (MEMORY.md):
Lines: {{n}}/200 ({{bar}}) {{emoji}}
Topic files: {{count}} ({{names}})
Last updated: {{date}}
Project Rules:
CLAUDE.md: {{n}} lines
Rules: {{count}} files in .claude/rules/
User global: {{n}} lines (~/.claude/CLAUDE.md)
Health:
Capacity: {{healthy/warning/critical}}
Stale refs: {{count}} (files no longer exist)
Duplicates: {{count}} (entries repeated across files)
{{if recommendations}}
💡 Recommendations:
- {{recommendation}}
{{endif}}
```
### Brief mode
```
/si:status --brief
```
Output: `📊 Memory: {{n}}/200 lines | {{count}} rules | {{status_emoji}} {{status_word}}`
## Interpretation
- **Green (< 60%)**: Plenty of room. Auto-memory is working well.
- **Yellow (60-90%)**: Getting full. Consider running `/si:review` to promote or clean up.
- **Red (> 90%)**: Near capacity. Auto-memory may start dropping older entries. Run `/si:review` now.
## Tips
- Run `/si:status --brief` as a quick check anytime
- If capacity is yellow+, run `/si:review` to identify promotion candidates
- Stale entries waste space — delete references to files that no longer exist
- Topic files are fine — Claude creates them to keep MEMORY.md under 200 linesRelated Skills
wiki-query
Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>"
wiki-log
Show recent entries from the LLM Wiki log (wiki/log.md). Uses the standardized
wiki-lint
Run a health check on the LLM Wiki vault — mechanical checks (orphans, broken links, stale pages, missing frontmatter, log gap, duplicates) plus semantic checks (contradictions, cross-reference gaps, concepts missing their own page). Outputs a markdown report with suggested actions. Usage /wiki-lint [--stale-days N] [--log-gap-days N]
wiki-init
Bootstrap a fresh LLM Wiki vault with the three-layer structure, schema files, and starter templates. Usage /wiki-init <path> --topic "<topic>" [--tool all|claude-code|codex|cursor|antigravity]
wiki-ingest
Ingest a source file from raw/ into the LLM Wiki — read, discuss, write summary page, update cross-references across 5-15 pages, regenerate index, append to log. Usage /wiki-ingest <path-to-source>
tc
Track technical changes with structured records, a state machine, and session handoff. Usage: /tc <init|create|update|status|resume|close|export|dashboard> [args]
tc-tracker
Use when the user asks to track technical changes, create change records, manage TC lifecycles, or hand off work between AI sessions. Covers init/create/update/status/resume/close/export workflows for structured code change documentation.
llm-wiki
Use 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.
karpathy-coder
Use when writing, reviewing, or committing code to enforce Karpathy's 4 coding principles — surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals. Triggers on "review my diff", "check complexity", "am I overcomplicating this", "karpathy check", "before I commit", or any code quality concern where the LLM might be overcoding.
karpathy-check
Run Karpathy's 4-principle review on staged changes or the last commit. Checks complexity, diff noise, hidden assumptions, and goal verification. Usage /karpathy-check [--last-commit]
cs-wiki-linter
Dispatched sub-agent that runs a periodic health check on an LLM Wiki vault. Runs mechanical checks via scripts (orphans, broken links, stale pages, missing frontmatter, duplicate titles, log gaps), does semantic checks (contradictions, stale claims, cross-reference gaps, concepts missing their own page), and produces a markdown report with suggested actions. Spawn weekly, after batch ingests, or when the user says "check the wiki" / "lint my wiki" / "audit the vault".
cs-wiki-librarian
Dispatched sub-agent that answers queries against an LLM Wiki vault. Reads index.md first, drills into 3-10 relevant pages across categories, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back into the wiki as a new comparison or synthesis page. Spawn when the user asks a substantive question the wiki might answer, says "what does the wiki say about X", "compare A and B across my sources", or wants to explore a topic.