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npx skills add Nice-Wolf-Studio/wolf-skills-marketplace --skill "wolf-scripts-agents"
Install specific skill from multi-skill repository
# Description
Agent coordination, orchestration, and multi-agent workflow management scripts
# SKILL.md
name: wolf-scripts-agents
description: Agent coordination, orchestration, and multi-agent workflow management scripts
version: 1.1.0
category: agent-coordination
triggers:
- agent orchestration
- workflow coordination
- multi-agent
- agent execution
- agent validation
dependencies:
- wolf-roles
- wolf-archetypes
- wolf-governance
size: large
Wolf Scripts - Agent Coordination
Agent coordination patterns that power Wolf's multi-agent orchestration system. These scripts manage agent lifecycles, workflow handoffs, and cross-agent collaboration.
Overview
This skill captures agent coordination and orchestration patterns:
- Agent Executor - Unified interface for invoking agent binaries
- Workflow Orchestrator - Multi-phase, multi-agent workflow management
- Agent Change Validator - Enforces agent file scope boundaries
- Mailbox System - Async inter-agent communication
- Work Claimer - Agent work assignment and claim management
π€ Agent Executor Pattern
Purpose
Provides unified interface for invoking real agent binaries (codex, claude-code, custom) with structured output parsing and timeout management.
Features
- Multi-backend Support: codex, claude-code, custom binaries
- Non-interactive Execution:
--cwdand--prompt-filefor automation - Structured Signal Parsing:
AGENT_RESPONSE_ID,AGENT_CREATED_ISSUE_URL, etc. - Timeout Management: Configurable execution timeouts
- Error Handling: Robust error capture and reporting
Configuration
const executor = new AgentExecutor({
agentBinary: 'codex', // or 'claude-code', '/path/to/custom'
timeout: 300000, // 5 minutes default
captureOutput: true, // Capture stdout/stderr
parseSignals: true, // Parse structured signals
env: { ... }, // Custom environment variables
executionDir: '/path/to/repo', // Working directory
verbose: false, // Logging verbosity
logPrefix: '[agent-executor]' // Log message prefix
});
Execution Parameters
const result = await executor.executeAgent({
cwd: '/path/to/repo', // Working directory for agent
promptFile: '/path/to/prompt.md', // Prompt file path
command: 'run', // Agent command (run, create-issue, etc.)
args: { ... }, // Additional command arguments
id: 'unique-request-id' // Request ID for tracking
});
Structured Signals
Agent output is parsed for special signals:
- AGENT_RESPONSE_ID: Unique response identifier
- AGENT_CREATED_ISSUE_URL: URL of created issue
- AGENT_CREATED_PR_URL: URL of created PR
- AGENT_STATUS: Execution status (success, failure, partial)
- AGENT_NEXT_ACTION: Suggested next step
- AGENT_HANDOFF_TO: Next agent in workflow
Return Value
{
success: true,
stdout: '...',
stderr: '...',
exitCode: 0,
signals: {
responseId: '...',
createdIssueUrl: '...',
status: 'success',
nextAction: '...',
handoffTo: '...'
},
executionTime: 45.2, // seconds
timeout: false
}
Usage Pattern
import { AgentExecutor } from './agent-executor.mjs';
// Initialize executor
const executor = new AgentExecutor({
agentBinary: 'claude-code',
timeout: 600000 // 10 minutes
});
// Execute agent with prompt
const result = await executor.executeAgent({
cwd: '/workspace/project',
promptFile: '/tmp/prompt.md',
command: 'run',
id: 'workflow-123-phase-1'
});
// Check for success
if (result.success) {
console.log(`Agent completed successfully`);
console.log(`Response ID: ${result.signals.responseId}`);
// Handle handoff if specified
if (result.signals.handoffTo) {
console.log(`Handing off to: ${result.signals.handoffTo}`);
}
} else {
console.error(`Agent failed: ${result.stderr}`);
}
When to Use
- Automating agent invocation from workflows
- Building multi-agent pipelines
- Testing agent behavior programmatically
- Capturing structured agent outputs
Script Location: /agents/shared/scripts/agent-executor.mjs
π― Workflow Orchestrator Pattern
Purpose
Coordinates multi-phase, multi-agent workflows with automatic handoffs, lens integration, and state management.
Available Workflows
const WORKFLOWS = {
'issue-to-release': {
name: 'Issue to Release Pipeline',
description: 'Complete journey from issue creation to deployment',
phases: [
{ agent: 'intake-agent', action: 'triage' },
{ agent: 'pm-agent', action: 'curate' },
{ agent: 'coder-agent', action: 'implement' },
{ agent: 'reviewer-agent', action: 'review' },
{ agent: 'qa-agent', action: 'test' },
{ agent: 'release-agent', action: 'deploy' }
]
},
'pr-review-cycle': {
name: 'PR Review Cycle',
description: 'Automated PR review and feedback loop',
phases: [
{ agent: 'reviewer-agent', action: 'initial-review' },
{ agent: 'coder-agent', action: 'address-feedback' },
{ agent: 'reviewer-agent', action: 'final-review' }
]
},
'ci-failure-recovery': {
name: 'CI Failure Recovery',
description: 'Automatic diagnosis and fix of CI failures',
phases: [
{ agent: 'devops-agent', action: 'diagnose' },
{ agent: 'coder-agent', action: 'fix' },
{ agent: 'qa-agent', action: 'verify' }
]
}
};
WorkflowOrchestrator Class
class WorkflowOrchestrator {
constructor() {
this.currentWorkflow = null;
this.currentPhase = 0;
this.workflowState = {};
}
// List all available workflows
async listWorkflows() {
// Display workflow catalog
}
// Start a workflow
async startWorkflow(workflowName, options = {}) {
// Initialize workflow state
// Integrate lens selection if issue provided
// Execute workflow phases
}
// Execute workflow phases sequentially
async executeWorkflow() {
// For each phase:
// 1. Prepare agent context
// 2. Execute agent action
// 3. Capture results
// 4. Determine handoff
// 5. Update state
}
// Execute a single phase
async executePhase(phase, context) {
// Run agent action with context
// Parse output signals
// Return phase result
}
// Save workflow state for resume
saveWorkflowState() {
// Persist state to disk/database
}
// Resume incomplete workflow
async resumeWorkflow(workflowId) {
// Load state
// Continue from last phase
}
}
Lens Integration
Workflows automatically integrate with the lens system:
// Lens selection happens at workflow start
const lensIntegration = await integrateLensWithOrchestration(
workflowName,
issueNumber,
repository
);
// Lenses modify workflow phases
this.currentWorkflowDefinition = lensIntegration.applyToWorkflow(baseWorkflow);
// Example modifications:
// - Performance lens adds benchmark phase
// - Security lens adds security review phase
// - Accessibility lens adds a11y validation phase
Workflow State
{
workflowName: 'issue-to-release',
startTime: '2025-10-20T12:00:00Z',
currentPhase: 3,
phases: [
{
phase: 0,
agent: 'intake-agent',
action: 'triage',
startTime: '2025-10-20T12:00:00Z',
endTime: '2025-10-20T12:02:30Z',
status: 'completed',
output: { ... },
signals: { ... }
},
{ ... } // More phases
],
lenses: ['performance', 'security'],
metadata: { issueNumber: 123, prNumber: 456 }
}
Command Line Usage
# List all workflows
node orchestrate-workflow.mjs --list-workflows
# Start issue-to-release workflow
node orchestrate-workflow.mjs --workflow=issue-to-release --issue=123
# Start PR review cycle
node orchestrate-workflow.mjs --workflow=pr-review-cycle --pr=456
# Dry run mode
DRY_RUN=true node orchestrate-workflow.mjs --workflow=ci-failure-recovery --issue=78
When to Use
- Multi-agent collaboration required
- Sequential phase execution needed
- Automatic handoffs between agents
- State persistence for long-running workflows
- Lens-aware workflow modification
Script Location: /agents/shared/scripts/orchestrate-workflow.mjs
π‘οΈ Agent Change Validator Pattern
Purpose
Enforces agent file scope boundaries to prevent cross-cutting changes that could interfere with other agents.
Role File Patterns
Each agent role has explicitly defined allowed file patterns:
const ROLE_FILE_PATTERNS = {
'pm-agent': {
allowed: [
'agents/roles/pm-agent/**/*',
'agents/shared/templates/pm-*',
'.github/ISSUE_TEMPLATE/**/*',
'docs/**/*.md',
'README.md',
'CONTRIBUTING.md'
],
description: 'PM templates, documentation, issue templates'
},
'coder-agent': {
allowed: [
'src/**/*',
'lib/**/*',
'components/**/*',
'test/**/*',
'*.test.*',
'*.spec.*',
'package.json',
'tsconfig.json',
'*.config.js'
],
description: 'Source code, tests, build configs, dependencies'
},
'qa-agent': {
allowed: [
'test/**/*',
'e2e/**/*',
'*.test.*',
'*.spec.*',
'.github/workflows/*test*',
'playwright.config.*',
'jest.config.*'
],
description: 'Test files, CI test workflows, testing configs'
},
'reviewer-agent': {
allowed: [
'agents/roles/reviewer-agent/**/*',
'.eslintrc*',
'.prettierrc*',
'.github/workflows/*review*',
'.github/workflows/*lint*',
'.gitignore'
],
description: 'Code standards, linting configs, review templates'
}
// ... more agent patterns
};
Validation Algorithm
function validateAgentChanges(agentRole, changedFiles) {
const rolePatterns = ROLE_FILE_PATTERNS[agentRole];
if (!rolePatterns) {
throw new Error(`Unknown agent role: ${agentRole}`);
}
const violations = [];
for (const file of changedFiles) {
const isAllowed = rolePatterns.allowed.some(pattern =>
minimatch(file, pattern)
);
if (!isAllowed) {
violations.push({
file,
agent: agentRole,
reason: `File outside agent scope. Allowed patterns: ${rolePatterns.description}`
});
}
}
return {
valid: violations.length === 0,
violations,
totalFiles: changedFiles.length,
allowedFiles: changedFiles.length - violations.length
};
}
Command Line Usage
# Validate from file list
node validate-agent-changes.mjs --agent=pm-agent --files=changed-files.txt
# Validate from git diff
node validate-agent-changes.mjs --agent=coder-agent --git-diff
# Validate specific PR
node validate-agent-changes.mjs --agent=qa-agent --pr=456
# Check without failing (report only)
node validate-agent-changes.mjs --agent=reviewer-agent --git-diff --no-fail
Integration with CI
# .github/workflows/agent-scope-validation.yml
- name: Validate Agent File Scope
run: |
AGENT=$(gh pr view ${{ github.event.pull_request.number }} --json labels --jq '.labels[].name' | grep 'agent:' | sed 's/agent://')
node agents/shared/scripts/validate-agent-changes.mjs --agent=$AGENT --git-diff
When to Use
- PR validation gates
- Pre-commit hooks for agent work
- Preventing scope creep
- Enforcing separation of concerns
- CI/CD validation
Script Location: /agents/shared/scripts/validate-agent-changes.mjs
π¬ Mailbox System Pattern
Purpose
Asynchronous inter-agent communication using file-based mailboxes.
Mailbox Structure
agents/shared/mailbox/
βββ intake/ # intake-agent mailbox
β βββ inbox/
β βββ outbox/
β βββ archive/
βββ pm/ # pm-agent mailbox
β βββ inbox/
β βββ outbox/
β βββ archive/
βββ coder/ # coder-agent mailbox
βββ inbox/
βββ outbox/
βββ archive/
Message Format
{
"id": "msg-2025-10-20-001",
"from": "pm-agent",
"to": "coder-agent",
"subject": "Implementation request for issue #123",
"timestamp": "2025-10-20T12:00:00Z",
"priority": "normal",
"payload": {
"issueNumber": 123,
"archetype": "product-implementer",
"acceptanceCriteria": [ ... ],
"technicalContext": { ... }
},
"metadata": {
"workflowId": "workflow-456",
"phaseNumber": 2
}
}
Mailbox API
class MailboxClient {
constructor(agentName) {
this.agentName = agentName;
this.inboxPath = `agents/shared/mailbox/${agentName}/inbox`;
this.outboxPath = `agents/shared/mailbox/${agentName}/outbox`;
}
// Send message to another agent
async sendMessage(toAgent, subject, payload) {
const message = {
id: this.generateMessageId(),
from: this.agentName,
to: toAgent,
subject,
timestamp: new Date().toISOString(),
payload
};
// Write to outbox and recipient's inbox
await this.writeMessage(this.outboxPath, message);
await this.writeMessage(`agents/shared/mailbox/${toAgent}/inbox`, message);
return message.id;
}
// Check inbox for new messages
async checkInbox() {
const messages = await this.readMessages(this.inboxPath);
return messages.filter(msg => !msg.read);
}
// Mark message as read
async markAsRead(messageId) {
// Update message metadata
}
// Archive message
async archiveMessage(messageId) {
// Move to archive folder
}
}
Usage Pattern
// PM agent sends work to coder agent
const pmMailbox = new MailboxClient('pm');
const messageId = await pmMailbox.sendMessage('coder', 'Implement feature #123', {
issueNumber: 123,
archetype: 'product-implementer',
acceptanceCriteria: [ ... ]
});
// Coder agent checks inbox
const coderMailbox = new MailboxClient('coder');
const newMessages = await coderMailbox.checkInbox();
for (const msg of newMessages) {
console.log(`New work from ${msg.from}: ${msg.subject}`);
// Process message
await processWork(msg.payload);
// Mark as read
await coderMailbox.markAsRead(msg.id);
// Send completion notification
await coderMailbox.sendMessage(msg.from, `Completed: ${msg.subject}`, {
prUrl: '...',
completionTime: '...'
});
}
When to Use
- Async agent communication
- Work queue management
- Handoff tracking
- Audit trails
- Decoupled agent coordination
Integration Patterns
Complete Workflow Example
// 1. Start orchestrated workflow
const orchestrator = new WorkflowOrchestrator();
await orchestrator.startWorkflow('issue-to-release', {
issue: 123,
repository: 'org/repo'
});
// 2. Workflow internally uses agent executor
const executor = new AgentExecutor({ agentBinary: 'claude-code' });
for (const phase of workflow.phases) {
// 3. Execute agent with validation
const changedFiles = await getChangedFiles();
const validation = validateAgentChanges(phase.agent, changedFiles);
if (!validation.valid) {
throw new Error(`Agent scope violation: ${validation.violations}`);
}
// 4. Run agent
const result = await executor.executeAgent({
cwd: '/workspace',
promptFile: `/tmp/phase-${phase.number}-prompt.md`,
command: phase.action
});
// 5. Use mailbox for async communication if needed
if (phase.requiresHandoff) {
const mailbox = new MailboxClient(phase.agent);
await mailbox.sendMessage(phase.nextAgent, 'Work ready for review', {
prUrl: result.signals.createdPrUrl
});
}
// 6. Save state
orchestrator.saveWorkflowState();
}
Related Skills
- wolf-roles: Agent role definitions and responsibilities
- wolf-archetypes: Behavioral profiles
- wolf-workflows-ci: GitHub Actions integration
- wolf-governance: Quality gates and policies
File Locations
All agent coordination scripts in /agents/shared/scripts/:
- agent-executor.mjs - Unified agent execution interface
- orchestrate-workflow.mjs - Multi-agent workflow orchestration
- validate-agent-changes.mjs - Agent scope enforcement
- intake-agent-with-mailbox.mjs - Mailbox-integrated intake agent
- work-claimer.mjs - Work assignment and claim management
Best Practices
Agent Execution
- β Always set reasonable timeouts
- β Parse structured signals for automation
- β Capture both stdout and stderr
- β Use unique request IDs for tracking
- β Don't run agents without timeout limits
- β Don't ignore exit codes
Workflow Orchestration
- β Save state after each phase for resume capability
- β Integrate lens modifications early
- β Use dry-run mode for testing
- β Log all phase transitions
- β Don't skip error handling
- β Don't hardcode workflow definitions
Agent Scope Validation
- β Validate file changes in CI
- β Provide clear violation messages
- β Keep role patterns up to date
- β Document allowed patterns clearly
- β Don't allow broad wildcards
- β Don't skip validation for "small" changes
Mailbox Communication
- β Use structured message formats
- β Archive read messages
- β Set message priorities
- β Include workflow context in metadata
- β Don't leave inbox unprocessed
- β Don't lose message delivery confirmation
Red Flags - STOP
If you catch yourself thinking:
- β "I can coordinate agents manually without scripts" - STOP. Manual coordination doesn't scale and loses state. Use workflow orchestrator for multi-agent work.
- β "Scripts are overkill for simple workflows" - NO. Even "simple" multi-agent workflows have handoffs, state, and failures. Scripts provide resilience.
- β "Automation can wait until later" - FORBIDDEN. "Later" means never. Set up orchestration from the start or face coordination chaos.
- β "Agent scope validation is too restrictive" - Wrong. Scope boundaries prevent interference and maintain separation of concerns. Violating scope = breaking governance.
- β "Mailbox system is unnecessary overhead" - False. Async communication enables decoupled agents and audit trails. Direct coordination breaks under load.
- β "One agent can do multiple roles to save time" - FORBIDDEN. Role mixing violates governance. Use orchestrator to coordinate multiple agents properly.
STOP. Use the appropriate coordination script BEFORE proceeding.
After Using This Skill
REQUIRED NEXT STEPS:
Integration with Wolf role-based system
- REQUIRED SKILL: Use wolf-roles to understand agent boundaries
- Why: Coordination scripts enforce role boundaries. Must understand role definitions to use orchestration properly.
- When: Before using
orchestrate-workflow.mjsorvalidate-agent-changes.mjs - Tool: Use Skill tool to load wolf-roles
-
Example: Before orchestrating pm-agent β coder-agent β reviewer-agent workflow, load each role's responsibilities
-
RECOMMENDED SKILL: Use wolf-governance for workflow quality gates
- Why: Workflows must enforce governance at each phase. Understanding gates ensures compliance.
- When: When designing custom workflows or modifying existing workflow definitions
-
Tool: Use Skill tool to load wolf-governance
-
DURING WORK: Coordination scripts enable multi-agent collaboration
- Scripts orchestrate agent interactions throughout complex workflows
- Use scripts at handoff points and phase transitions
- Continuous state management for long-running workflows
Verification Checklist
Before claiming multi-agent coordination complete:
- [ ] Used workflow orchestrator for multi-agent coordination (not manual coordination)
- [ ] Validated agent file scope boundaries before allowing changes (
validate-agent-changes.mjs) - [ ] Set up mailbox communication for async handoffs (if workflow requires it)
- [ ] Documented workflow state and phases (saved state after each phase)
- [ ] All agents stayed within their defined file scopes (no role boundary violations)
- [ ] Workflow resumable from any phase (state persistence working)
Can't check all boxes? Coordination incomplete. Return to this skill.
Good/Bad Examples: Multi-Agent Coordination
Example 1: Proper Workflow Orchestration
Task: Implement feature #123 through complete pipeline (intake β PM curation β implementation β review β QA β release)
Script Execution:
$ node orchestrate-workflow.mjs --workflow=issue-to-release --issue=123
Starting workflow: issue-to-release
Issue: #123 - Add user authentication
Lenses detected: security, observability
Phase 1: intake-agent (triage)
β
Issue triaged successfully
β
Labels applied: feature, security
β
Archetype recommended: product-implementer
β
State saved
Phase 2: pm-agent (curate)
β
Acceptance criteria defined
β
Incremental shards created (#123-1, #123-2)
β
Technical context documented
β
State saved
Phase 3: coder-agent (implement)
β
Implementation complete
β
PR created: #456
β
Security lens requirements met (threat model, security tests)
β
File scope validated: all changes in src/**/* (allowed for coder-agent)
β
State saved
Phase 4: reviewer-agent (review)
β
Code review complete
β
Governance checks passed (DoD complete)
β
Security lens validated
β
Approved
β
State saved
Phase 5: qa-agent (test)
β
E2E tests passing
β
Security scans clean
β
Observability lens validated (metrics, monitoring)
β
State saved
Phase 6: release-agent (deploy)
β
Deployed to staging
β
Smoke tests passing
β
Production deployment complete
β
Workflow complete β
Total time: 2.5 hours
All phases completed successfully
Why this is correct:
- Used workflow orchestrator instead of manual coordination
- Each agent stayed within scope (validated at each phase)
- Lenses (security, observability) automatically integrated
- State saved after each phase (workflow resumable)
- Complete audit trail of all agent actions
- Handoffs automatic and documented
Benefits:
- No dropped work between agents
- No scope violations
- Governance enforced at each phase
- Resumable if any phase fails
- Complete traceability
Task: Same feature implementation #123
Manual Approach: "I'll just coordinate manually"
Actions:
Developer: "Let me implement this feature myself across all phases"
1. Manual triage: Skipped (assumed feature type)
2. Manual PM work: Wrote quick acceptance criteria in memory
3. Implementation:
β Modified files in agents/roles/pm-agent/templates/ (scope violation - coder touching PM files)
β Modified .github/workflows/review.yml (scope violation - coder touching reviewer config)
β Modified test/ and src/ together (mixed coder + qa concerns)
4. Self-review: "Looks good to me" (governance violation - no separation)
5. Manual deploy: Pushed directly to main
Result:
β No archetype selection (wrong behavioral profile)
β No lens integration (security requirements missed)
β Scope violations broke PM templates (PM agent now fails)
β Scope violations broke review workflows (all PRs now fail review)
β No governance enforcement (DoD skipped)
β No state tracking (no resume capability)
β No audit trail (can't determine what broke)
β Self-approval violates governance
β Direct to main bypasses all gates
Outcome: 3 other agents broke, 2 days debugging, emergency rollback, team demoralized
What Should Have Been Done:
Used orchestrate-workflow.mjs which would have:
- β
Enforced agent scope boundaries
- β
Prevented PM template modifications by coder
- β
Prevented review workflow modifications by coder
- β
Required separate qa-agent for testing
- β
Required separate reviewer-agent for approval
- β
Integrated security lens automatically
- β
Saved state for resume
- β
Created audit trail
- β
Enforced governance at each phase
Example 2: Agent Scope Validation
PR #456 from coder-agent
Files changed:
src/auth/login.ts
src/auth/logout.ts
src/auth/session.ts
test/auth/login.test.ts
test/auth/session.test.ts
package.json
Validation:
$ node validate-agent-changes.mjs --agent=coder-agent --pr=456
Validating changes for coder-agent...
Allowed patterns: src/**/* lib/**/* components/**/* test/**/* *.test.* *.spec.* package.json tsconfig.json *.config.js
Checking files:
β
src/auth/login.ts (matches: src/***)
β
src/auth/logout.ts (matches: src/***)
β
src/auth/session.ts (matches: src/***)
β
test/auth/login.test.ts (matches: test/**/* AND *.test.*)
β
test/auth/session.test.ts (matches: test/**/* AND *.test.*)
β
package.json (matches: package.json)
Validation passed β
6/6 files within coder-agent scope
Result: PR allowed to proceed. No scope violations.
PR #457 from coder-agent
Files changed:
src/auth/login.ts
agents/roles/pm-agent/templates/feature-template.md
.github/workflows/review.yml
docs/GOVERNANCE.md
README.md
Validation:
$ node validate-agent-changes.mjs --agent=coder-agent --pr=457
Validating changes for coder-agent...
Allowed patterns: src/**/* lib/**/* components/**/* test/**/* *.test.* *.spec.* package.json tsconfig.json *.config.js
Checking files:
β
src/auth/login.ts (matches: src/***)
β agents/roles/pm-agent/templates/feature-template.md
Violation: File outside coder-agent scope
This file belongs to: pm-agent
Reason: PM templates are PM agent's responsibility
β .github/workflows/review.yml
Violation: File outside coder-agent scope
This file belongs to: reviewer-agent
Reason: Review workflows are reviewer agent's responsibility
β docs/GOVERNANCE.md
Violation: File outside coder-agent scope
This file belongs to: pm-agent
Reason: Governance docs are PM agent's responsibility
β README.md
Violation: File outside coder-agent scope
This file belongs to: pm-agent (or documentation-agent)
Reason: Top-level docs are PM/docs agent's responsibility
Validation failed β
1/5 files within scope
4/5 files violate scope boundaries
BLOCKING: This PR cannot be merged until scope violations are resolved.
Recommended actions:
1. Remove changes to PM templates, review workflows, and docs
2. OR: Create separate PRs from appropriate agents:
- pm-agent PR for template and governance doc changes
- reviewer-agent PR for review workflow changes
- documentation-agent PR for README changes
Result: PR blocked. Developer must split changes across appropriate agent roles.
Why this is correct:
- Scope validation caught cross-cutting changes
- Prevented coder from modifying PM agent's files
- Prevented coder from modifying reviewer agent's files
- Enforced separation of concerns
- Provided clear remediation guidance
If validation had been skipped:
- PM templates would have been modified by non-PM agent
- Review workflow would have been broken by non-reviewer agent
- Governance docs would have been modified without proper review
- Future agent work would have failed due to broken templates/workflows
Last Updated: 2025-11-14
Phase: Superpowers Skill-Chaining Enhancement v2.0.0
Maintainer: Wolf Orchestration Team
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.