Synchronizes project instruction files across AGENTS.md, CLAUDE.md, GEMINI.md, and .github/copilot-instructions.md while preserving platform-specific sections (GEMINI.md tool mapping, copilot authoritative header). Supports AGENTS.md or CLAUDE.md as primary source, and selective target syncing. Also reports drift between .agent/rules/ and matching plugins/*/rules/ sources. Triggers: "sync instructions", "sync CLAUDE.md to GEMINI.md", "sync AGENTS.md", "replicate instruction files", "mirror CLAUDE.md", "check rule drift".

FIELDS=("INTENT:" "TARGET:" "PATH:" "DISPATCH:" "STATUS:" "OUTPUTS:" "NEXT_ACTION:") MISSING=() for field in "${FIELDS[@]}"; do grep -q "$field" "$OUTPUT_FILE" || MISSING+=("$field") done

Systematically analyze agent plugins and skills to extract design patterns, architectural decisions, and reusable techniques. Trigger with "analyze this plugin", "mine patterns from", "review plugin structure", "extract learnings from", "what patterns does this plugin use", "check if this plugin is well-structured", "validate plugin compliance", or when examining any plugin or skill collection to understand its design. Use this skill even when the user just says "look at this plugin" or "tell me how this is structured."

Triggers the L5 Red Team Sub-Agent to rigorously audit a plugin against the 39-point L4 pattern matrix.

Interactive skill to scaffold and optimize the .claude/ directory for any project. Sets up CLAUDE.md, .claude/rules/, .claude/settings.json with best practices, and optional hooks. Produces a lean, modular configuration that avoids monolithic context bloat. Trigger with "set up claude", "optimize my CLAUDE.md", "scaffold .claude folder", "configure claude for this project", or "create claude settings".

Cooperative Multi-Agent Coordination Loop. Spawns a lightweight companion sub-agent (Gemini 3.5 Flash Low) to perform spec discovery, planning, and implementation. The primary agent (Claude) acts as the QA Director, answering Gemini's questions, approving the spec/plan, and running verification tests. Assumes the superpowers plugin is installed in the target repository.

Activate when the user wants to compile an APM package into top-level context documents such as AGENTS.md, CLAUDE.md, or GEMINI.md, especially for Codex, Gemini, OpenCode, or agents-protocol style hosts. Do not use when the user only needs per-skill installation; use install-apm-package instead.

Translate .mmd diagram files into PNG images with configurable resolution (retina/HQ/scale), supporting rasterization (raster, rasterize, rasterization). V2 includes L5 Delegated Constraint Verification via verify_png for strict binary linting and Puppeteer-based rendering.

Activate when the user wants to add APM governance, lockfile/audit readiness, or multi-runtime package management to an existing Claude/Copilot/agent plugin, or explicitly convert a plugin into an APM-native package.

Scaffolds a Copilot GitHub agent, an agent that runs in GitHub Actions, a GitHub workflow agent, or a GitHub Agentic Workflow (gh-aw) from an existing skill. Supports three target configurations: Target A (Custom Copilot agent), Target B (GitHub Agentic Workflow), and Target C (CI/CD Smart Failure agent).

Scaffolds a new event-driven hook in a plugin. NOT for creating interactive slash commands (use `create-command`) and NOT for GitHub Actions agentic workflows (use `create-agentic-workflow`).

Adds an MCP server integration configuration to an existing plugin. NOT for scaffolding a brand-new plugin (use `create-plugin`) and NOT for Azure hosted agents (use `create-azure-agent`).

Scaffolds a new autonomous sub-agent with its own prompt, system instructions, and tool permissions. Enforces modern architectural guidance: sub-agents are reserved for isolated execution contexts, strict tool sandboxing, or adversarial personas. NOT for simple procedural skills (use `create-skill`) and NEVER for pointer-wrapper stubs that merely delegate to a skill.

Conducts a full-system adversarial audit of agent plugins, skills, specifications, and orchestration against enforced runtime contracts using deep reasoning.

(Industry standard: Sequential Agent / Agent as a Tool) Primary Use Case: Delegating a well-defined task to a worker agent, verifying its execution, and repeating if necessary. Inner/outer agent delegation pattern via strategy packets, with verification and correction loops.

Provides active execution protocols to rigorously audit how code, directory structures, and agent actions comply with the authoritative ecosystem specs. Trigger when validating new skills, plugins, or workflows.

Converts temperatures between Celsius and Fahrenheit for the evolution end-to-end smoke test harness.

Interactive co-authoring skill for the narrow end of the exploration funnel. Synthesizes session briefs, BRDs, story sets, and prototype notes into a structured handoff package targeted at the correct downstream consumer (e.g., formal software specs, strategic roadmaps, or process documentation).

Evaluates and improves the exploration-cycle skills, prompts, routing, and artifact quality using baseline-first, one-hypothesis iteration loops with keep-discard decisions and experiment ledgers.

Bridge skill for escalating ephemeral local task scratchpad items (`tasks/*.md`) into durable, taxonomy-validated, evidence-rich GitHub Issues. USE ONLY when promoting a single-session local task into durable repository backlog. DO NOT USE for managing local kanban boards (use `task-agent` instead) or directly querying/commenting on issues (use `github-issue-agent` instead).