claude-code-conductor: Skill for Claude Code

.claude/skills/promote-pattern/SKILL.md

promote-pattern is a skill for Claude Code from satoh-y-0323/claude-code-conductor. It costs 54 tokens per session (1,441 once invoked), scanned A, original, MIT.

A guided workflow for promoting useful patterns from a project memory file into reusable rules or step-by-step skills.

In plain words
What is it for?
It reads eligible patterns, lets you choose which to promote and where they belong, then creates and saves the selected files.
Why use it?
It prevents helpful patterns from staying buried in temporary records and makes the promotion decision explicit.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; names the AskUserQuestion tool; mentions Claude Code.

This is satoh-y-0323/claude-code-conductor's own configuration. It tells Claude Code how to work on claude-code-conductor itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-code-conductor configures →

Reuse

Borrowing it

Nothing to install: this file belongs to satoh-y-0323/claude-code-conductor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/satoh-y-0323/claude-code-conductor/main/.claude/skills/promote-pattern/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/satoh-y-0323/claude-code-conductor

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for promote-pattern

README.md
[![agentmods](https://agentmods.dev/badge/skills/satoh-y-0323/claude-code-conductor/promote-pattern.svg)](https://agentmods.dev/skills/satoh-y-0323/claude-code-conductor/promote-pattern)
Your own site
<a href="https://agentmods.dev/skills/satoh-y-0323/claude-code-conductor/promote-pattern"><img src="https://agentmods.dev/badge/skills/satoh-y-0323/claude-code-conductor/promote-pattern.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,441 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01441
Opus 5 $0.00027 $0.00720
Sonnet 5 $0.00011 $0.00288
Haiku 4.5 $0.00005 $0.00144

Measured 3d ago against content hash f86dd5c9ff9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

promote-pattern scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/promote-pattern/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

promote-pattern

patterns.json の昇格候補を rules/promoted/ または skills/promoted-YYYYMMDD-{id}/ に昇格させる。


Step 1: 昇格候補を読み込む

.claude/memory/patterns.json を Read する。 promotion_candidate: true かつ promoted: true でないパターンを抽出する。

候補がない場合は以下を表示して終了する:

現在、昇格候補はありません。 (信用度 0.8 以上・登録から3日以上・未昇格が対象です)


Step 2: 昇格するパターンを選ぶ

AskUserQuestion ツールで候補を複数選択式で提示する:

{
  "questions": [{
    "question": "昇格するパターンを選んでください(複数選択可)",
    "options": [
      { "label": "[trust: {スコア}] {id}", "description": "{description}" },
      ...候補の数だけ追加...,
      { "label": "今回は昇格しない", "description": "すべてスキップして終了する" }
    ],
    "multiSelect": true
  }]
}

「今回は昇格しない」のみ選択された場合、または何も選択されなかった場合 → 終了する。


Step 3: 各パターンの昇格先を選ぶ

選択されたパターンごとに AskUserQuestion ツールで昇格先を確認する:

{
  "questions": [{
    "question": "「{description}」をどちらに昇格しますか?",
    "options": [
      { "label": "rule", "description": "rules/promoted/ — 背景知識・制約として登録(「こうしろ / これを知っておけ」系)" },
      { "label": "skill", "description": "skills/promoted-YYYYMMDD-{id}/ — オーケストレーション手順として登録(「この順番で動かせ」系)。Claude が自動的に使用する" }
    ]
  }]
}

複数パターンを選んだ場合は1つずつ順番に確認する。


Step 4: ファイルを生成して保存する

パターンの description をもとに内容を生成し Write ツールで保存する。

rule の保存先: .claude/rules/promoted/YYYYMMDD-{id}.md

---
promoted_from: {pattern id}
promoted_date: YYYY-MM-DD
trust_score: {スコア}
---

# {タイトル}

{ルール本文。「何をすべきか / 何を知っておくべきか」を簡潔に記述する}

skill の保存先: .claude/skills/promoted-YYYYMMDD-{id}/SKILL.md

---
name: promoted-YYYYMMDD-{id}
description: {昇格理由と期待効果を1文で。例: "security-audit における code-reviewer / security-reviewer の並列起動パターン。2 体のレビュアーを 1 メッセージで同時に当てる"}
promoted_from: {pattern id}
promoted_date: YYYY-MM-DD
trust_score: {スコア}
---

# {タイトル}

## 使うタイミング
{どんな状況でこのスキルを使うか — description の詳細版}

## 手順
{エージェント間のオーケストレーション手順をステップで記述する}

Step 5: .claude/rules/promoted/index.md に追記する

rule の場合のみ.claude/rules/promoted/index.md<!-- C3:PROMOTED_RULES:BEGIN --><!-- C3:PROMOTED_RULES:END --> の間に追記:

- **{タイトル}** (`.claude/rules/promoted/YYYYMMDD-{id}.md`) — {description を1行で}

Read the full file on GitHub · 153 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 153 lines · 54 tokens per session scan A f86dd5c9ff9d

Subscribe to this mod's changes

promote-pattern is a skill published in the GitHub repository satoh-y-0323/claude-code-conductor (1 stars, last pushed 4d ago), licensed MIT. It adds 54 tokens to every session and 1,441 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

Related

Other skills, from other repositories

Self-Improving + Proactive Agent

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when (1) a command, tool, API, or operation fails; (2) the user corrects you or rejects your work; (3) you realize your knowledge is outdated or incorrect; (4) you…

UnicomAI/wanwu · 105 tokens

commonly

You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…

Team-Commonly/commonly · 0 tokens

knowledge-spider

A local knowledge-base skill for saving, searching, deleting, and counting records such as preferences, facts, tasks, and other important information.

UnicomAI/wanwu · 0 tokens

company-product-context

Compiles comprehensive company product context from PDF documents, web research, and industry knowledge.

lofcz/LLMTornado · 20 tokens

project-context

Use PowerContext project memory and handoff tools through MCP when continuing prior work, recalling decisions, maintaining durable memory, or transferring work across tasks, sessions, or agents.

oceanbase/powercontext · 37 tokens

codebase-context-extractor

This skill provides a comprehensive context extraction system for large codebases. It intelligently analyzes code structure, dependencies, and relationships to extract relevant context for understanding, debugging, or modifying code.

lofcz/LLMTornado · 42 tokens