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knowledge-gate
Knowledge documentation gatekeeper. Dynamic domain expert analysis to find optimal placement and connections.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Knowledge documentation gatekeeper. Dynamic domain expert analysis to find optimal placement and connections.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Tycono usage guide and project understanding. WHEN: user asks "how does tycono work", "what can tycono do", "how to use the AI team", "what are the commands", "what is a wave", "what is an agency", "how to check results", "where are the logs", "how to see what the team did", first time using tycono. WHEN NOT: user is already running a wave, asking about unrelated code, general coding questions.
Browser automation for AI agents using agent-browser CLI. Token-efficient alternative to Playwright MCP with accessibility-first element selection.
AKB document hygiene checker. Finds documents that confuse AI agents.
| name | knowledge-gate |
| description | Knowledge documentation gatekeeper. Dynamic domain expert analysis to find optimal placement and connections. |
| allowed-tools | Read, Glob, Grep, Bash, Agent |
"Prevent mindless document creation. Domain experts find optimal connections."
| Pattern | Problem |
|---|---|
| New insight -> create new doc immediately | Duplicates existing docs |
| Similar topics scattered across files | Inefficient search, AI confusion |
| More docs != better knowledge | Defeats AKB purpose |
| Isolated docs with no links | Discovery failure |
When documenting new knowledge:
# Search with keywords
grep -rn "{keyword1}\|{keyword2}\|{keyword3}" --include="*.md" .
# Find similar topic docs
find . -name "*.md" | xargs grep -l "{core_topic}"
Hub pattern: {folder-name}.md as folder entry point, or akb_type: hub frontmatter.
# Find Hub documents
find . -name "*.md" -exec sh -c 'dir=$(dirname "$1"); base=$(basename "$dir"); fname=$(basename "$1" .md); [ "$base" = "$fname" ] && echo "$1"' _ {} \;
grep -rl "akb_type: hub" --include="*.md" .
For every discovered Hub, run an Expert Agent in parallel:
Each expert evaluates:
Relevance criteria (strict):
| Relevance | Criteria | Example |
|---|---|---|
| HIGH | Without this insight, my domain docs are incomplete | "DB migration design" -> Architecture Hub |
| MEDIUM | Nice to reference but not required | "DB migration" -> Knowledge Hub |
| NONE | No direct relation to my domain | "DB migration" -> Company Hub |
Anti-bias rule: Don't force connections. Only HIGH = direct dependency.
| Rule | Description |
|---|---|
| Only HIGH gets action | MEDIUM/NONE are informational only |
| Pick 1 primary Hub | If multiple HIGH, choose most direct |
| Max 3 connections | Limit total link work to 3 |
| Deduplicate hierarchy | If parent Hub is HIGH, skip child |
| Overlap | Threshold | Action |
|---|---|---|
| HIGH (70%+) | Core topic matches | Add section to existing doc |
| MEDIUM (30-70%) | Related but different angle | New doc + cross-link |
| LOW (<30%) | Independent topic | New doc (register in Hub) |
| None | 0 search results | New doc |
Run akb-linter on new/modified document.
| Overlap | Action |
|---|---|
| 70%+ | Add to existing document (preferred) |
| 30-70% | Reference existing + cross-link |
| <30% | New document (justify + register in Hub) |
"1 doc added = maintenance cost increased" "Strengthen existing > Create new" "Isolated doc = dead doc"