本文へ移動
cccskills
無料GitHub で公開

claude-code

Drive Anthropic's Claude Code CLI (`claude -p`) as a non-interactive coding sub-agent from inside Codex. Use when you want to delegate a coding/analysis/refactor task to Claude, get a second opinion / adversarial review from another model, hand off long-context planning, or fan out parallel agents. Covers the exact `claude -p` flags, permission modes, output capture, JSON/stream-json modes, session resume, parallel fan-out, and the mandatory "delegate → capture → independently verify, never trust the self-report" supervision loop.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md4.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Claude Code as a Sub-Agent

Claude Code is Anthropic's terminal coding agent. Its headless mode, claude -p (a.k.a. --print), makes it a disposable sub-agent: you write the metaprompt, Claude explores/edits/runs commands on its own, and returns a final message you capture and verify. You stay the planner; Claude is the implementer — it's a strong long-context planner, so this is useful for reviews, big-picture design, and cross-cutting refactors.

Golden rule: Claude's self-report is a claim, not the truth. Capture its output, then independently verify the artifacts yourself (read the files, re-run the tests) before treating the task as done.

Verified locally: claude 2.1.167. Confirm install with claude --version.

The core command

claude -p "your metaprompt here" \
  --add-dir <workdir> \
  --permission-mode <default|acceptEdits|plan|bypassPermissions> \
  --output-format json  >/tmp/claude_<rand>.json 2>>/tmp/claude_<rand>.log
  • -p, --print — headless: print the response and exit. Required for scripting.
  • Prompt as the arg, OR pipe via stdin: echo "$PROMPT" | claude -p (good for long/generated prompts).
  • --output-format — text (default), json (single object with result + session_id + cost/usage), or stream-json (NDJSON events as they arrive). Use json for clean capture and to grab the session_id for resume.
  • Redirect stdout to a capture file and stderr to a log so progress noise doesn't pollute your context. Generate <rand> once per run.
  • --model <alias|id> — pin the model (e.g. opus, sonnet, or a full id).
  • --add-dir <dir>... — extra directories Claude may read/write.
  • --append-system-prompt <text> — inject extra instructions/persona.

Permission modes (pick the least privilege)

  • default — Claude asks before edits/commands. In headless -p it cannot prompt, so write actions are effectively blocked → good for read-only review/analysis.
  • plan — Claude plans but does not edit. Use for "design this / find the bug".
  • acceptEdits — auto-accepts file edits. Use for real implementation.
  • bypassPermissions (or --dangerously-skip-permissions) — no gating at all. Powerful; only use when the user has explicitly authorized autonomous edits AND the working dir is scoped, or in a throwaway dir. When unsure, ask which mode before granting write access.

Output & session resume

  • Parse --output-format json: the result field is the final message; the session_id field lets you continue the same conversation.
  • Resume with context intact:
    claude -p --continue "now also update the tests"      # most recent session
    claude -p --resume <session-id> "..."                 # a specific session
    
  • Use resume for multi-turn delegation (draft → refine → fix) instead of re-sending all context.

Delegation patterns

  • One-shot task — scope --add-dir, acceptEdits, capture, verify.
  • Second opinion / adversarial review — plan mode, ask Claude to critique your diff or find bugs. Different model, different blind spots.
  • Plan/implement split — Claude designs; you implement (or vice-versa).
  • Parallel fan-out — for N independent tasks, launch N claude -p runs, each with its own capture/log file. For concurrent WRITE runs, give each its own git worktree add dir and point --add-dir there to avoid edit collisions.

The supervision loop (never skip)

  1. Delegate — claude -p ... --output-format json >out 2>>log.
  2. Capture — read the result from out (and log/stream-json for detail).
  3. Verify INDEPENDENTLY — do not trust "tests pass" / "done":
    • git status / git diff to see what actually changed.
    • Read the changed files yourself.
    • Re-run the build/tests/linter yourself and read the real output.
  4. Iterate — if wrong, claude -p --continue "<correction>" and repeat.
  5. Report — state what changed, what you verified, and how. Say plainly when something failed or was skipped.

Cleanup: remove /tmp/claude_* capture/log files (and any throwaway worktrees) when done.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Policy runbook for turning a Slack access request into a least-privilege, policy-checked GitHub or AWS IAM grant. Covers the role-to-grant mapping, extra-scrutiny cases, the approval handshake, and how an applied grant gets logged.

日本語の概要は準備中です。原文の説明を表示しています。

kortix-ai/suna2万2026年10月10日 更新

Get a complete picture of any company or person before outreach. This skill always works with web search, and gets significantly better with enrichment and CRM data.

日本語の概要は準備中です。原文の説明を表示しています。

kortix-ai/suna2万2026年10月10日 更新

Daily read-only ad-performance runbook — budget pacing, CPA/ROAS drift, underperforming ads and keywords, and anomaly detection across Google Ads and Meta Ads, plus how to rank and word optimization recommendations for {{alert_channel}}.

日本語の概要は準備中です。原文の説明を表示しています。

kortix-ai/suna2万2026年10月10日 更新

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

日本語の概要は準備中です。原文の説明を表示しています。

kortix-ai/suna2万2026年10月10日 更新

Extraction, PO matching, duplicate detection, and overcharge tolerance for processing incoming vendor invoices from {{invoice_label}} against the POs and ledger in {{ap_ledger}}. Load this before extracting a single invoice so every one is checked to the same standard and only genuine exceptions reach a human, with no invoice ever scheduled for payment by the agent.

日本語の概要は準備中です。原文の説明を表示しています。

kortix-ai/suna2万2026年10月10日 更新

Daily brand-mention monitoring loop for {{brand_terms}}. Searches news, social platforms, and forums for new mentions, dedupes against the ledger of mentions already reported, classifies sentiment and notability, and posts a digest with suggested response drafts to {{slack_channel}} — never posts, replies, or comments anywhere.

日本語の概要は準備中です。原文の説明を表示しています。

kortix-ai/suna2万2026年10月10日 更新

kortix-ai のスキルをすべて見る

このスキルの問題を報告する