Agent skill
collaborating-with-claude
Use when you want Claude Code CLI as a second opinion for coding tasks such as design tradeoffs, debugging, or diff review, while keeping Codex as the primary implementer.
Install this agent skill to your Project
npx add-skill https://github.com/cnfjlhj/ai-collab-playbook/tree/main/skills/full/collaborating-with-claude
Metadata
Additional technical details for this skill
- short description
- Delegate to Claude Code CLI
SKILL.md
Collaborating with Claude Code (Codex)
Use Claude Code CLI as a collaborator while keeping Codex as the primary implementer.
This skill provides a lightweight bridge script (scripts/claude_bridge.py) that returns structured JSON and supports multi-turn sessions via SESSION_ID.
When to use
- You want a second opinion (design tradeoffs, edge cases, missing tests).
- You want Claude to propose or review a unified diff (Claude does not edit files).
- You want multi-turn back-and-forth while you implement locally.
When not to use
- The task is trivial or one-shot (do it directly in Codex).
- You need authoritative facts that require browsing/citations (Claude may guess).
- You might paste sensitive data (secrets, private keys, prod logs).
Core rules
- Claude is a collaborator; you own the final result and must verify changes locally.
- Do not invoke
claudedirectly; always use the bridge script (scripts/claude_bridge.py) so output/session handling stays consistent. - Prefer file/line references over pasting snippets. Run the bridge with
--cdset to the repo root (it sets theclaudeprocess working directory); use--add-dirwhen Claude needs access to additional directories. - For code changes, request Unified Diff Patch ONLY and forbid direct file modification.
- Always run the bridge script with
--helpfirst if you are unsure of parameters. - Always capture
SESSION_IDand reuse it for follow-ups to keep the collaboration conversation-aware. - For automation, prefer
--SESSION_ID(resume). Session selectors are mutually exclusive: choose one of--SESSION_ID,--continue, or--session-id. - Keep a short Collaboration State Capsule updated while this skill is active.
- Default timeout: when invoking via the Codex command runner, set
timeout_msto 600000 (10 minutes) unless a shorter/longer timeout is explicitly required. - Default model: prefer
sonnetfor routine work; useopusonly for complex tasks or when explicitly requested. - Ensure Claude Code is logged in before running headless commands (run
claudeand/loginonce if needed). - Streamed JSON requires
--verbose; the bridge enables this automatically.
Model selection
Claude Code supports model aliases, so you can use --model sonnet / --model opus instead of hard-coding versioned model IDs.
- If you omit
--model, Claude Code uses its configured default (typically from~/.claude/settings.json, optionally overridden by.claude/settings.jsonand.claude/settings.local.json). - If you need strict reproducibility, pass a full model name via
--model <full-name>.
Quick start (shell-safe)
⚠️ If your prompt contains Markdown backticks (`like/this`), do not pass it directly via --PROMPT "..." (your shell may treat backticks as command substitution). Use a heredoc instead; see references/shell-quoting.md.
PROMPT="$(cat <<'EOF'
Review src/auth.py around login() and propose fixes.
OUTPUT: Unified Diff Patch ONLY.
EOF
)"
python3 .codex/skills/collaborating-with-claude/scripts/claude_bridge.py --cd "." --model sonnet --PROMPT "$PROMPT" --output-format stream-json
Output: JSON with success, SESSION_ID, agent_messages, and optional error / all_messages.
Multi-turn sessions
# Start a session
PROMPT="$(cat <<'EOF'
Analyze the bug in foo(). Keep it short.
EOF
)"
python3 .codex/skills/collaborating-with-claude/scripts/claude_bridge.py --cd "." --PROMPT "$PROMPT" --output-format stream-json
# Continue the same session
PROMPT="$(cat <<'EOF'
Now propose a minimal fix as Unified Diff Patch ONLY.
EOF
)"
python3 .codex/skills/collaborating-with-claude/scripts/claude_bridge.py --cd "." --SESSION_ID "<SESSION_ID>" --PROMPT "$PROMPT" --output-format stream-json
Prompting patterns (token efficient)
Use assets/prompt-template.md as a starter when crafting --PROMPT.
1) Ask Claude to open files itself
Provide:
- Entry file(s) and approximate line numbers
- Objective and constraints
- Output format (diff vs analysis)
Avoid:
- Pasting large code blocks
- Multiple competing objectives in one request
2) Enforce safe output for code changes
Append this to prompts when requesting code:
OUTPUT: Unified Diff Patch ONLY. Strictly prohibit any actual modifications.
3) Use Claude for what it’s good at
- Alternative solution paths and edge cases
- UI/UX and readability feedback
- Review of a proposed patch (risk spotting, missing tests)
Verification
- Smoke-test the bridge:
python3 .codex/skills/collaborating-with-claude/scripts/claude_bridge.py --help. - If you need a session: run one prompt with
--output-format stream-jsonand confirm the JSON containssuccess: trueand aSESSION_ID. - Note:
--output-format textwon’t include a newly generated session id; usestream-json/jsonto capture it. If you resume with--SESSION_IDintextmode, the bridge echoes thatSESSION_IDin its JSON output.
Safety & guardrails
- Never paste secrets (private keys, API keys, seed phrases) into prompts.
- For code changes, request Unified Diff Patch ONLY and apply changes yourself.
- Treat Claude output as suggestions; verify locally (tests, lint, build) before merging.
Collaboration State Capsule
Keep this short block updated near the end of your reply while collaborating:
[Claude Collaboration Capsule]
Goal:
Claude SESSION_ID:
Files/lines handed off:
Last ask:
Claude summary:
Next ask:
References
assets/prompt-template.md(prompt patterns)references/shell-quoting.md(shell quoting/backticks)
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
paperreview
Use when the user explicitly wants to upload a final or near-final PDF to paperreview.ai for an external second opinion. Skip this for local paper critique, which should go through `paper-review-pipeline` first.
skill-governance-loop
Use when the user asks to review a skill, analyze skill quality, update a skill version, or run a repeatable keep/disable/archive decision loop from real failures instead of abstract best practices.
academic-paper-helper
学术论文写作助手,专门用于 LaTeX 论文编写、BibTeX 管理、格式化、学术写作规范检查。适用于 AI/ML 研究论文、会议投稿(NeurIPS、ICML、ICLR 等)
proactive-explorer
落实 CLAUDE.md / AGENTS.md 中的“主动探索”原则,在向用户提问前自动使用 Grep、Read、Bash、WebSearch 等工具获取信息
writing-anti-ai
This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.
xhs-longform-private-publisher
This skill should be used when the user wants to publish an existing Markdown article to Xiaohongshu as a private longform post, keep the original wording and structure, insert inline images in order, use one-click layout, and verify the result in note manager.
Didn't find tool you were looking for?