Competitive Agents Skill

Competitive Agents Skill

Two agents with different philosophies generate competing implementations, cross-review each other, improve, and a judge picks the winner. The user chooses the final result.

Trigger Phrases

English:

• "compete"
• "competitive agents"
• "dual generate"
• "plugin battle"
• "/compete"

Korean:

• "에이전트 경쟁"
• "플러그인 배틀"
• "경쟁 생성"

When to Use

• Generating a new Claude Code plugin from scratch
• When quality matters more than speed
• When exploring different architectural approaches

Execution Algorithm

Step 1: Parse Mission Input

Determine what the user wants to build:

AskUserQuestion(
    questions=[
        {
            "question": "What plugin do you want to build? Describe its purpose and key features.",
            "header": "Mission",
            "options": [
                {"label": "Describe now", "description": "I'll describe the plugin I want to build"},
                {"label": "Use a spec file", "description": "I have a spec document to reference"},
                {"label": "Use planning-interview outputs", "description": "Import prd.md, user-journey-map.md, tech-spec.md, wireframe-spec.md as mission context"},
                {"label": "Improve existing", "description": "Generate a better version of an existing plugin"}
            ],
            "multiSelect": false
        }
    ]
)

If "Describe now": Collect the user's text description as the mission.

If "Use a spec file": Ask for path, then read the spec file.

If "Use planning-interview outputs": Ask for the directory path where planning-interview outputs are saved (e.g., initial-projects/my-project/). Read all available docs from that path:

• {path}/prd.md → if exists
• {path}/user-journey-map.md → if exists
• {path}/tech-spec.md → if exists
• {path}/wireframe-spec.md → if exists

Combine their contents as the mission context. Store planning_docs_path = path and planning_docs = {filename: content} for all found files.

If "Improve existing": Ask for plugin name, read its current files as the mission context.

Then confirm round count and project docs option:

AskUserQuestion(
    questions=[
        {
            "question": "How many improvement rounds?",
            "header": "Rounds",
            "options": [
                {"label": "1 round (Recommended)", "description": "Cross-review + improve once (~3-5 min)"},
                {"label": "2 rounds", "description": "Two cycles of cross-review + improve (~5-8 min)"}
            ],
            "multiSelect": false
        },
        {
            "question": "Generate project documentation alongside the implementation?",
            "header": "Project Docs",
            "options": [
                {"label": "Yes — generate docs/ (Recommended)", "description": "decisions.md (ADR), dev-log.md template, spec.md (if spec was provided), planning-interview docs (if provided) in final/docs/"},
                {"label": "No — skip docs", "description": "For quick experiments or plugin-only outputs"}
            ],
            "multiSelect": false
        }
    ]
)

Set generate_docs = True if user selected "Yes — generate docs/".

Step 2: Build Shared Context

Read existing plugin patterns to provide as reference:

# Read 2 reference plugins for convention examples
Read("plugins/project-insight/.claude-plugin/plugin.json")
Read("plugins/project-insight/skills/project-insight/SKILL.md")
Read("plugins/competitive-agents/templates/plugin-conventions.md")
Read("plugins/competitive-agents/templates/evaluation-rubric.md")

Construct shared_context:

• mission: User's description or spec content
• reference_patterns: Key excerpts from reference plugins
• conventions: From templates/plugin-conventions.md
• max_rounds: 1 or 2
• mission_slug: lowercase, hyphened, max 40 chars from mission keywords

Create output directory:

mkdir -p tempo/competitive-agents/{mission_slug}/agent-a
mkdir -p tempo/competitive-agents/{mission_slug}/agent-b

Save mission:

Write("tempo/competitive-agents/{mission_slug}/mission.md", mission_text)

Step 3: Phase 1 - Parallel Generation

Launch both generators in a single response block for parallel execution:

# PARALLEL: Both agents run simultaneously
Task(
    subagent_type="generator-alpha",
    model="sonnet",
    description="Generate plugin (Pragmatist)",
    prompt="""
    You are Agent Alpha, the Pragmatist.

    ## Mission
    {mission}

    ## Your Philosophy
    - SIMPLICITY over completeness
    - Minimum viable file count (3-5 files)
    - Single-skill design preferred, multi-agent only if clearly necessary
    - SKILL.md with 3-5 concise steps
    - Handle top 3 most likely errors only
    - Use haiku model where possible for cost efficiency
    - README under 100 lines, no CLAUDE.md unless essential
    - Prefer sensible defaults over asking user questions

    ## Plugin Conventions (MUST follow)
    {conventions from plugin-conventions.md}

    ## Reference Patterns
    {reference plugin excerpts}

    ## Output Format
    For each file, output exactly:
    === FILE: relative/path/to/file.ext ===
    [complete file contents]
    === END FILE ===

    Generate a COMPLETE, FUNCTIONAL plugin. Every file must be production-ready.
    """
)

Task(
    subagent_type="generator-beta",
    model="sonnet",
    description="Generate plugin (Architect)",
    prompt="""
    You are Agent Beta, the Architect.

    ## Mission
    {mission}

    ## Your Philosophy
    - COMPLETENESS over minimalism
    - Rich structure: plugin.json, SKILL.md, README.md, CLAUDE.md, agents/, commands/, config
    - Multi-agent design when it adds value, with explicit parallel/sequential phases
    - SKILL.md with 7-10 detailed steps, branching logic, comprehensive pseudocode
    - Exhaustive error handling table for every step
    - Use sonnet model for quality-critical agents
    - Detailed README with architecture diagram, examples, troubleshooting
    - Full CLAUDE.md developer guide
    - Config file with all tunable parameters and comments

    ## Plugin Conventions (MUST follow)
    {conventions from plugin-conventions.md}

    ## Reference Patterns
    {reference plugin excerpts}

    ## Output Format
    For each file, output exactly:
    === FILE: relative/path/to/file.ext ===
    [complete file contents]
    === END FILE ===

    Generate a COMPLETE, FUNCTIONAL plugin. Every file must be production-ready.
    """
)

Wait for both agents to complete.

Step 4: Save v1 Outputs

Parse each agent's output by extracting === FILE: ... === blocks.

Write files to:

• tempo/competitive-agents/{mission_slug}/agent-a/v1/ (all of Alpha's files)
• tempo/competitive-agents/{mission_slug}/agent-b/v1/ (all of Beta's files)

Display summary to user:

Agent Alpha (Pragmatist): Generated {N} files
Agent Beta (Architect): Generated {M} files

Step 5: Phase 2 - Parallel Cross-Review (Round 1)

Launch two cross-review tasks in a single response block:

# PARALLEL: Both reviews run simultaneously
Task(
    subagent_type="cross-reviewer",
    model="sonnet",
    description="Review Alpha's work",
    prompt="""
    Review Agent Alpha's (Pragmatist) plugin implementation.

    ## Evaluation Rubric
    {evaluation-rubric.md contents}

    ## Original Mission
    {mission}

    ## Plugin Convention Reference
    {plugin-conventions.md contents}

    ## Agent Alpha's Implementation
    {all files from agent-a/v1/, each prefixed with file path}

    Produce a structured critique following the Cross-Reviewer Output Format in the rubric.
    Be specific with file references. Score each criterion 1-10.
    """
)

Task(
    subagent_type="cross-reviewer",
    model="sonnet",
    description="Review Beta's work",
    prompt="""
    Review Agent Beta's (Architect) plugin implementation.

    ## Evaluation Rubric
    {evaluation-rubric.md contents}

    ## Original Mission
    {mission}

    ## Plugin Convention Reference
    {plugin-conventions.md contents}

    ## Agent Beta's Implementation
    {all files from agent-b/v1/, each prefixed with file path}

    Produce a structured critique following the Cross-Reviewer Output Format in the rubric.
    Be specific with file references. Score each criterion 1-10.
    """
)

Wait for both reviews to complete.

Save critiques:

• tempo/competitive-agents/{mission_slug}/agent-a/v1-critique.md
• tempo/competitive-agents/{mission_slug}/agent-b/v1-critique.md

Step 6: Display Review Summary + User Confirmation

Show condensed summary:

=== Cross-Review Round 1 ===

Agent Alpha (Pragmatist):
  Score: X/100 | Critical issues: N | Top strength: ... | Top weakness: ...

Agent Beta (Architect):
  Score: Y/100 | Critical issues: M | Top strength: ... | Top weakness: ...

AskUserQuestion(
    questions=[
        {
            "question": "Proceed with improvement round?",
            "header": "Continue",
            "options": [
                {"label": "Yes, improve both (Recommended)", "description": "Apply critiques and generate v2"},
                {"label": "Skip to Judge", "description": "Go straight to final evaluation with v1"},
                {"label": "Stop here", "description": "Save current outputs and stop"}
            ],
            "multiSelect": false
        }
    ]
)

If "Stop here": Display file paths and end.

If "Skip to Judge": Go to Step 9.

Step 7: Phase 3 - Parallel Improvement (Round 1)

# PARALLEL: Both improvements run simultaneously
Task(
    subagent_type="improver",
    model="sonnet",
    description="Improve Alpha's plugin",
    prompt="""
    Improve Agent Alpha's (Pragmatist) plugin implementation based on critique.

    ## Original Implementation
    {all files from agent-a/v1/}

    ## Critique Received
    {v1-critique.md for Alpha}

    ## Rules
    1. Address ALL Critical issues
    2. Address MOST Important issues
    3. Selectively address Minor issues
    4. DO NOT change the fundamental Pragmatist philosophy
    5. Preserve all identified strengths

    ## Output Format
    First output a CHANGELOG:
    === CHANGELOG ===
    - [Fixed/Added/Changed]: [description] (addresses: [Critical/Important/Minor] #N)
    - [Skipped]: [description] (reason: [why])
    === END CHANGELOG ===

    Then output all files (complete contents, not diffs):
    === FILE: relative/path/to/file.ext ===
    [complete file contents]
    === END FILE ===
    """
)

Task(
    subagent_type="improver",
    model="sonnet",
    description="Improve Beta's plugin",
    prompt="""
    Improve Agent Beta's (Architect) plugin implementation based on critique.

    ## Original Implementation
    {all files from agent-b/v1/}

    ## Critique Received
    {v1-critique.md for Beta}

    ## Rules
    1. Address ALL Critical issues
    2. Address MOST Important issues
    3. Selectively address Minor issues
    4. DO NOT change the fundamental Architect philosophy
    5. Preserve all identified strengths

    ## Output Format
    First output a CHANGELOG:
    === CHANGELOG ===
    - [Fixed/Added/Changed]: [description] (addresses: [Critical/Important/Minor] #N)
    - [Skipped]: [description] (reason: [why])
    === END CHANGELOG ===

    Then output all files (complete contents, not diffs):
    === FILE: relative/path/to/file.ext ===
    [complete file contents]
    === END FILE ===
    """
)

Wait for both. Save to agent-a/v2/ and agent-b/v2/.

Save changelogs:

• tempo/competitive-agents/{mission_slug}/agent-a/v2-changelog.md
• tempo/competitive-agents/{mission_slug}/agent-b/v2-changelog.md

Step 8: Optional Round 2

If max_rounds == 2, repeat Steps 5-7 with v2 as input, producing v3.

The cross-reviewer prompt in Round 2 additionally includes:

• The previous critique (v1-critique.md)
• The changelog (v2-changelog.md)
• Instruction: "Verify whether v1 issues were actually fixed. Check for regressions."

After Round 2, proceed to Step 9.

Step 9: Phase 4 - Judge Evaluation

# SEQUENTIAL: Judge needs both final versions
Task(
    subagent_type="judge",
    model="opus",
    description="Judge final implementations",
    prompt="""
    You are the impartial Judge. Evaluate two competing plugin implementations.

    ## Original Mission
    {mission}

    ## Evaluation Rubric
    {evaluation-rubric.md contents}

    ## Agent Alpha's Final Implementation (Pragmatist)
    {all files from agent-a/v{final}/}

    ## Agent Beta's Final Implementation (Architect)
    {all files from agent-b/v{final}/}

    ## Tasks
    1. Score each implementation on every rubric criterion (1-10)
    2. Calculate weighted totals (see rubric for weights)
    3. Declare the winner with margin
    4. Provide specific reasoning for each score
    5. Identify best elements from each for potential fusion
    6. Output the full Judge Report (see rubric for format)
    """
)

Save: tempo/competitive-agents/{mission_slug}/judge-report.md

Step 10: Present Results + User Decision

Display the Judge's verdict (scores table, winner, key differentiators).

AskUserQuestion(
    questions=[
        {
            "question": "What would you like to do with the results?",
            "header": "Decision",
            "options": [
                {"label": "Use winner ({winner_name} {winner_score}/100)", "description": "Deploy the winning agent's version"},
                {"label": "Fuse A + B", "description": "Merge best elements of both (~2 min extra)"},
                {"label": "Keep both", "description": "Save both versions for manual review"}
            ],
            "multiSelect": false
        }
    ]
)

Step 11: Execute Decision

If "Use winner": Copy the winning agent's final version to tempo/competitive-agents/{mission_slug}/final/.

If "Fuse A + B":

Task(
    subagent_type="fuser",
    model="sonnet",
    description="Fuse best of both",
    prompt="""
    Merge the best elements of two competing plugin implementations.

    ## Judge's Analysis
    {judge-report.md}

    ## Agent Alpha's Final Version
    {all files from agent-a/v{final}/}

    ## Agent Beta's Final Version
    {all files from agent-b/v{final}/}

    ## Rules
    1. Take higher-scoring elements from each agent per criterion
    2. Resolve structural conflicts coherently (pick one approach, don't mix)
    3. Maintain internal consistency across all files
    4. For each file, note which agent's version you primarily drew from

    ## Output Format
    === FILE: relative/path/to/file.ext === (from: Alpha|Beta|Merged)
    [complete file contents]
    === END FILE ===
    """
)

Save fused output to tempo/competitive-agents/{mission_slug}/fused/ and copy to final/.

If "Keep both": Both versions already saved. Skip to Step 12.

Step 11.5: Generate Project Docs (if generate_docs = True)

Using context already in memory — no subagent needed (mission, judge-report, both implementations are already available).

Generate final/docs/decisions.md — Architecture Decision Records (ADR):

Extract key decisions from:

• judge-report.md → "Strengths to Preserve" + "Identified best elements" sections
• Judge's per-criterion scores → which approach was chosen per area and why
• Mission description → constraints and goals that drove decisions

ADR entry format:

## ADR-NNN: [Decision Title]

**날짜**: {current date}
**상태**: 채택

**결정**: [What was decided — 1-2 sentences]

**이유**:
- [Reason 1 — from judge analysis]
- [Reason 2]

**트레이드오프**:
- [What was given up by choosing this approach]

Generate 3–6 ADRs covering the major architectural decisions surfaced during the competition (e.g. tech stack choices, key patterns selected, structural decisions from the fuse).

If spec file was provided in Step 1 (spec_path is set):

• Copy the spec file content to final/docs/spec.md

If planning-interview outputs were provided in Step 1 (planning_docs_path is set):

• Copy each found doc to final/docs/ preserving original filenames:
  • prd.md → final/docs/prd.md
  • user-journey-map.md → final/docs/user-journey-map.md
  • tech-spec.md → final/docs/tech-spec.md
  • wireframe-spec.md → final/docs/wireframe-spec.md

Save all generated docs:

Write("tempo/competitive-agents/{mission_slug}/final/docs/decisions.md", ...)
Write("tempo/competitive-agents/{mission_slug}/final/docs/dev-log.md", ...)
# If spec was provided:
Write("tempo/competitive-agents/{mission_slug}/final/docs/spec.md", spec_content)
# If planning-interview docs were provided:
for filename, content in planning_docs.items():
    Write(f"tempo/competitive-agents/{mission_slug}/final/docs/{filename}", content)

Step 12: Completion Summary

Competitive generation complete!

Output: tempo/competitive-agents/{mission_slug}/final/
Judge Report: tempo/competitive-agents/{mission_slug}/judge-report.md

Generated: {plugin_name}
Files: {N} files  (+ {M} docs files if generate_docs = True)
Trigger phrases: {list}

Project docs (if generated):
  final/docs/decisions.md        — Architecture Decision Records ({K} ADRs)
  final/docs/dev-log.md          — Dev session log template
  final/docs/spec.md             — Feature spec (if spec was provided)
  final/docs/prd.md              — Product brief (if planning-interview outputs provided)
  final/docs/user-journey-map.md — User journey map (if planning-interview outputs provided)
  final/docs/tech-spec.md        — Technical spec (if planning-interview outputs provided)
  final/docs/wireframe-spec.md   — Wireframe spec (if planning-interview outputs provided)

Next steps:
1. Review generated files
2. Copy to plugins/ (or project repo) if satisfied
3. Run `npm run link` to install (for plugins)
4. Test with trigger phrases

Error Handling

Scenario	Response
Mission too vague (< 20 chars)	Ask user for more detail
Spec file not found	Inform user, ask for corrected path
Agent generation fails/timeout	Retry once. If still fails, proceed with single agent, skip competition
Output not parseable (no === FILE === blocks)	Retry agent with stricter format instructions
Directory creation fails	Check permissions, suggest alternative path
Cross-reviewer gives all 10/10	Re-invoke with: "You MUST identify at least 3 areas for improvement"
Judge scores within 2 points	Report as "Too close to call", recommend fusion
User aborts mid-pipeline	Save all completed work, display paths

Quick Reference

Usage:

"compete"
"competitive agents"
"/compete"
"에이전트 경쟁"

Expected Duration:

• 1 round: ~3-5 minutes
• 2 rounds: ~5-8 minutes
• 2 rounds + fuse: ~7-10 minutes

Output:

tempo/competitive-agents/{mission-slug}/
├── agent-a/v1/, v2/ (v3/ if 2 rounds)
├── agent-b/v1/, v2/ (v3/ if 2 rounds)
├── judge-report.md
└── final/
    ├── ... (implementation files)
    └── docs/                    ← if generate_docs = True
        ├── decisions.md         ← ADR (judge report에서 자동 추출)
        ├── dev-log.md           ← 개발 일지 템플릿
        ├── spec.md              ← spec 파일 제공 시에만 생성
        ├── prd.md               ← planning-interview 제공 시에만 복사
        ├── user-journey-map.md  ← planning-interview 제공 시에만 복사
        ├── tech-spec.md         ← planning-interview 제공 시에만 복사
        └── wireframe-spec.md    ← planning-interview 제공 시에만 복사