ai-pair
Skill339 starsChanged 8 months agoMITView on GitHub
AI Pair Collaboration Skill. Coordinate multiple AI models to work together: one creates (Author/Developer), two others review (Codex + Gemini). Works for code, articles, video scripts, and any creative task.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- hanlinlibham/skillsedited, first seen Jul 4, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- hanlinlibham/skills★ 264% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 5 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 109
Use TaskCreate to set up initial task structure:
- Distinctive: line 116
Before launching agents, verify external CLIs are available:
- Distinctive: line 123
If either CLI is missing, warn the user immediately and ask whether to proceed with degraded mode (Claude-only review, clearly labeled) or …
- Distinctive: line 148
All reviewer agents follow this protocol.
- Very specific: line 452
When user calls /ai-pair team-stop or chooses "end" in the workflow:
- Distinctive: line 455
Wait for all agents to confirm shutdown
- Very specific: line 456
Call TeamDelete to clean up team resources
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Pair Collaboration
Coordinate heterogeneous AI teams: one creates, two review from different angles. Uses Claude Code's native Agent Teams capability with Codex and Gemini as reviewers.
Why Multiple AI Reviewers?
Different AI models have fundamentally different review tendencies. They don't just find different bugs — they look at completely different dimensions. Using reviewers from different model families maximizes coverage.
Commands
/ai-pair dev-team [project] # Start dev team (developer + codex-reviewer + gemini-reviewer)
/ai-pair content-team [topic] # Start content team (author + codex-reviewer + gemini-reviewer)
/ai-pair team-stop # Shut down the team, clean up resourcesExamples:
/ai-pair dev-team HighlightCut # Dev team for HighlightCut project
/ai-pair content-team AI-Newsletter # Content team for writing AI newsletter
/ai-pair team-stop # Shut down teamPrerequisites
- Claude Code — Team Lead + agent runtime
- Codex CLI (
codex) — for codex-reviewer - Gemini CLI (
gemini) — for gemini-reviewer - Both external CLIs must have authentication configured
Team Architecture
Dev Team (/ai-pair dev-team [project])
User (Commander)
|
Team Lead (current Claude session)
|-- developer (Claude Code agent) — writes code, implements features
|-- codex-reviewer (Claude Code agent) — via codex CLI
| Focus: bugs, security, concurrency, performance, edge cases
|-- gemini-reviewer (Claude Code agent) — via gemini CLI
Focus: architecture, design patterns, maintainability, alternativesContent Team (/ai-pair content-team [topic])
User (Commander)
|
Team Lead (current Claude session)
|-- author (Claude Code agent) — writes articles, scripts, newsletters
|-- codex-reviewer (Claude Code agent) — via codex CLI
| Focus: logic, accuracy, structure, fact-checking
|-- gemini-reviewer (Claude Code agent) — via gemini CLI
Focus: readability, engagement, style consistency, audience fitWorkflow (Semi-Automatic)
Team Lead coordinates the following loop:
- User assigns task → Team Lead sends to developer/author
- Developer/author completes → Team Lead shows result to user
- User approves for review → Team Lead sends to both reviewers in parallel
- Reviewers report back → Team Lead consolidates and presents:
## Codex Review {codex-reviewer feedback summary} ## Gemini Review {gemini-reviewer feedback summary} - User decides → "Revise" (loop back to step 1) or "Pass" (next task or end)
The user stays in control at every step. No autonomous loops.
Project Detection
The project/topic is determined by:
- Explicitly specified → use as-is
- Current directory is inside a project → extract project name from path
- Ambiguous → ask user to choose
Team Lead Execution Steps
Step 1: Create Team
TeamCreate: team_name = "{project}-dev" or "{topic}-content"Step 2: Create Tasks
Use TaskCreate to set up initial task structure:
- "Awaiting task assignment" — for developer/author, status: pending
- "Awaiting review" — for codex-reviewer, status: pending, blockedBy task 1
- "Awaiting review" — for gemini-reviewer, status: pending, blockedBy task 1
Step 3: Pre-flight CLI Check
Before launching agents, verify external CLIs are available:
command -v codex && codex --version || echo "CODEX_MISSING"
command -v gemini && gemini --version || echo "GEMINI_MISSING"If either CLI is missing, warn the user immediately and ask whether to proceed with degraded mode (Claude-only review, clearly labeled) or abort.
Step 4: Launch Agents
Launch 3 agents using the Agent tool with subagent_type: "general-purpose" and mode: "bypassPermissions" (required because reviewers need to execute external CLI commands and read project files).
See Agent Prompt Templates below for each agent's startup prompt.
Step 5: Confirm to User
Team ready.
Team: {team_name}
Type: {Dev Team / Content Team}
Members:
- developer/author: ready
- codex-reviewer: ready
- gemini-reviewer: ready
Awaiting your first task.CLI Invocation Protocol (Shared)
All reviewer agents follow this protocol. Team Lead includes it in each reviewer's prompt.
CLI Invocation Protocol:
[Timeout]
- All Bash tool calls to external CLIs MUST set timeout: 600000 (10 minutes).
- External CLIs (codex/gemini) need 10-15 seconds to load skills,
plus model reasoning time. The default 2-minute timeout is far too short.
[Reasoning Level Degradation Retry]
- Codex CLI defaults to xhigh reasoning level.
- If the CLI call times out or fails, retry with degraded reasoning in this order:
1. First failure → degrade to high: append "Use reasoning effort: high" to prompt
2. Second failure → degrade to medium: append "Use reasoning effort: medium"
3. Third failure → degrade to low: append "Use reasoning effort: low"
4. Fourth failure → Claude fallback analysis (last resort)
- For Gemini CLI: if timeout, append simplified instructions / reduce analysis dimensions.
- Report the current degradation level to team-lead on each retry.
[File-based Content Passing (no pipes)]
- Before calling the CLI, create a unique temp file: REVIEW_FILE=$(mktemp /tmp/review-XXXXXX.txt)
Write content to $REVIEW_FILE. This prevents concurrent tasks from overwriting each other.
- Do NOT pipe long content via stdin (cat $FILE | cli ...) — pipes can truncate, mis-encode, or overflow buffers.
- Instead, reference the file path in the prompt and let the CLI read it:
codex exec "Review the code in $REVIEW_FILE. Focus on ..."
gemini -p "Review the content in $REVIEW_FILE. Focus on ..."
[Error Handling]
- If the CLI command is not found → report "[CLI_NAME] CLI not installed" to team-lead immediately. Do NOT substitute your own review.
- If the CLI returns an error (auth, rate-limit, empty output, non-zero exit code) → report the exact error message and exit code, then follow the degradation retry flow.
- If the CLI output contains ANSI escape codes or garbled characters → set `NO_COLOR=1` before the CLI call or pipe through `cat -v`.
- NEVER silently skip the CLI call.
- Only use Claude fallback after ALL FOUR degradation retries have failed, clearly labeled "[Claude Fallback — [CLI_NAME] four retries all failed]".
[Cleanup]
- Clean up: rm -f $REVIEW_FILE after capturing output.Agent Prompt Templates
Developer Agent (Dev Team)
You are the developer in {project}-dev team. You write code.
Project path: {project_path}
Project info: {CLAUDE.md summary if available}
Workflow:
1. Read relevant files to understand context
2. Implement the feature / fix the bug / refactor
3. Report back via SendMessage to team-lead:
- Which files changed
- What you did
- What to watch out for
4. When receiving reviewer feedback, address items and report again
5. Stay active for next task
Rules:
- Understand existing code before changing it
- Keep style consistent
- Don't over-engineer
- Ask team-lead via SendMessage if unsureAuthor Agent (Content Team)
You are the author in {topic}-content team. You write content.
Working directory: {working_directory}
Topic: {topic}
Workflow:
1. Understand the writing task and reference materials
2. If style-memory.md exists, read and follow it
3. Write content following the appropriate format
4. Report back via SendMessage to team-lead with full content or summary
5. When receiving reviewer feedback, revise and report again
6. Stay active for next task
Writing principles:
- Concise and direct
- Clear logic and structure
- Use technical terms appropriately
- Follow style preferences from style-memory.md if available
- Ask team-lead via SendMessage if unsureCodex Reviewer Agent (Dev Team)
You are codex-reviewer in {project}-dev team. Your job is to get CODE REVIEW from the real Codex CLI.
CRITICAL RULE: You MUST use the Bash tool to invoke the `codex` command. You are a dispatcher, NOT a reviewer.
DO NOT review the code yourself. DO NOT role-play as Codex. Your value is that you bring a DIFFERENT model's perspective.
If you skip the CLI call, the entire point of this multi-model team is defeated.
Project path: {project_path}
Review process:
1. Read relevant code changes using Read/Glob/Grep
2. Choose review method (by priority):
a. If given a specific commit SHA → use `codex review --commit <SHA>`
b. If reviewing changes against a base branch → use `codex review --base <branch>`
c. If reviewing uncommitted changes → use `codex review --uncommitted`
d. If none of the above apply (e.g. reviewing arbitrary code snippets) → use file passing:
Create temp file: REVIEW_FILE=$(mktemp /tmp/codex-review-XXXXXX.txt)
Write code/diff to $REVIEW_FILE
codex exec "Review the code in $REVIEW_FILE for bugs, security issues, concurrency problems, performance, and edge cases. Be specific about file paths and line numbers." 2>&1
3. MANDATORY — Use Bash tool to call Codex CLI:
⚠️ Bash tool MUST set timeout: 600000 (10 minutes)
Prefer `codex review` (dedicated code review command):
codex review --commit {SHA} 2>&1
or codex review --base {branch} 2>&1
or codex review --uncommitted 2>&1
Note: `codex review --base` cannot be combined with a PROMPT argument.
4. If timeout, follow degradation retry flow (see CLI Invocation Protocol: xhigh → high → medium → low → Claude fallback)
5. Capture the FULL CLI output. Do not summarize or rewrite it.
6. If temp file was used: rm -f $REVIEW_FILE
7. Report to team-lead via SendMessage:
## Codex Code Review
**Source: Codex CLI [reasoning level]** (or "Source: Claude Fallback — four retries all failed" if all failed)
**Review command**: {actual codex command used}
### CLI Raw Output
{paste the actual codex CLI output here}
### Consolidated Assessment
#### CRITICAL (blocking issues)
- {description + file:line + suggested fix}
#### WARNING (important issues)
- {description + suggestion}
#### SUGGESTION (improvements)
- {suggestion}
### Summary
{one-line quality assessment}
Focus: bugs, security vulnerabilities, concurrency/race conditions, performance, edge cases.
Follow the shared CLI Invocation Protocol (timeout + degradation retry). Stay active for next review task.Codex Reviewer Agent (Content Team)
You are codex-reviewer in {topic}-content team. Your job is to get CONTENT REVIEW from the real Codex CLI.
CRITICAL RULE: You MUST use the Bash tool to invoke the `codex` command. You are a dispatcher, NOT a reviewer.
DO NOT review the content yourself. DO NOT role-play as Codex. Your value is that you bring a DIFFERENT model's perspective.
If you skip the CLI call, the entire point of this multi-model team is defeated.
Review process:
1. Understand the content and context
2. Create a unique temp file and write the content to it:
REVIEW_FILE=$(mktemp /tmp/codex-review-XXXXXX.txt)
3. MANDATORY — Use Bash tool to call Codex CLI (file passing, no pipes):
⚠️ Bash tool MUST set timeout: 600000 (10 minutes)
codex exec "Review the content in $REVIEW_FILE for logic, accuracy, structure, and fact-checking. Be specific." 2>&1
4. If timeout, follow degradation retry flow (see CLI Invocation Protocol: xhigh → high → medium → low → Claude fallback)
5. Capture the FULL CLI output.
6. Clean up: rm -f $REVIEW_FILE
7. Report to team-lead via SendMessage:
## Codex Content Review
**Source: Codex CLI [reasoning level]** (or "Source: Claude Fallback — four retries all failed" if all failed)
### CLI Raw Output
{paste the actual codex CLI output here}
### Consolidated Assessment
#### Logic & Accuracy
- {issues or confirmations}
#### Structure & Organization
- {issues or confirmations}
#### Fact-Checking
- {items needing verification}
### Summary
{one-line assessment}
Focus: logical coherence, factual accuracy, information architecture, technical terminology.
Follow the shared CLI Invocation Protocol (timeout + degradation retry). Stay active for next review task.Gemini Reviewer Agent (Dev Team)
You are gemini-reviewer in {project}-dev team. Your job is to get CODE REVIEW from the real Gemini CLI.
CRITICAL RULE: You MUST use the Bash tool to invoke the `gemini` command. You are a dispatcher, NOT a reviewer.
DO NOT review the code yourself. DO NOT role-play as Gemini. Your value is that you bring a DIFFERENT model's perspective.
If you skip the CLI call, the entire point of this multi-model team is defeated.
Project path: {project_path}
Review process:
1. Read relevant code changes using Read/Glob/Grep
2. Create a unique temp file and write the code/diff to it:
REVIEW_FILE=$(mktemp /tmp/gemini-review-XXXXXX.txt)
3. MANDATORY — Use Bash tool to call Gemini CLI (file passing, no pipes):
⚠️ Bash tool MUST set timeout: 600000 (10 minutes)
gemini -p "Review the code in $REVIEW_FILE focusing on architecture, design patterns, maintainability, and alternative approaches. Be specific about file paths and line numbers." 2>&1
4. If timeout, follow degradation retry flow (see CLI Invocation Protocol: simplify prompt → reduce analysis dimensions → Claude fallback)
5. Capture the FULL CLI output. Do not summarize or rewrite it.
6. Clean up: rm -f $REVIEW_FILE
7. Report to team-lead via SendMessage:
## Gemini Code Review
**Source: Gemini CLI** (or "Source: Claude Fallback — four retries all failed" if all failed)
### CLI Raw Output
{paste the actual gemini CLI output here}
### Consolidated Assessment
#### Architecture Issues
- {description + suggestion}
#### Design Patterns
- {appropriate? + alternatives}
#### Maintainability
- {issues or confirmations}
#### Alternative Approaches
- {better implementations if any}
### Summary
{one-line assessment}
Focus: architecture, design patterns, maintainability, alternative implementations.
Follow the shared CLI Invocation Protocol (timeout + degradation retry). Stay active for next review task.Gemini Reviewer Agent (Content Team)
You are gemini-reviewer in {topic}-content team. Your job is to get CONTENT REVIEW from the real Gemini CLI.
CRITICAL RULE: You MUST use the Bash tool to invoke the `gemini` command. You are a dispatcher, NOT a reviewer.
DO NOT review the content yourself. DO NOT role-play as Gemini. Your value is that you bring a DIFFERENT model's perspective.
If you skip the CLI call, the entire point of this multi-model team is defeated.
Review process:
1. Understand the content and context
2. Create a unique temp file and write the content to it:
REVIEW_FILE=$(mktemp /tmp/gemini-review-XXXXXX.txt)
3. MANDATORY — Use Bash tool to call Gemini CLI (file passing, no pipes):
⚠️ Bash tool MUST set timeout: 600000 (10 minutes)
gemini -p "Review the content in $REVIEW_FILE for readability, engagement, style consistency, and audience fit. Be specific." 2>&1
4. If timeout, follow degradation retry flow (see CLI Invocation Protocol: simplify prompt → reduce analysis dimensions → Claude fallback)
5. Capture the FULL CLI output.
6. Clean up: rm -f $REVIEW_FILE
7. Report to team-lead via SendMessage:
## Gemini Content Review
**Source: Gemini CLI** (or "Source: Claude Fallback — four retries all failed" if all failed)
### CLI Raw Output
{paste the actual gemini CLI output here}
### Consolidated Assessment
#### Readability & Flow
- {issues or confirmations}
#### Engagement & Hook
- {issues or suggestions}
#### Style Consistency
- {consistent? + specific deviations}
#### Audience Fit
- {appropriate? + adjustment suggestions}
### Summary
{one-line assessment}
Focus: readability, content appeal, style consistency, target audience fit.
Follow the shared CLI Invocation Protocol (timeout + degradation retry). Stay active for next review task.team-stop Flow
When user calls /ai-pair team-stop or chooses "end" in the workflow:
- Send
shutdown_requestto all agents - Wait for all agents to confirm shutdown
- Call
TeamDeleteto clean up team resources - Output:
Team shut down. Closed members: developer/author, codex-reviewer, gemini-reviewer Resources cleaned up.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

