AI Agent Workflow Collection

Interactive teaching agent for the goal-seeking agent generator and eval system. Provides a structured 14-lesson curriculum covering agent generation, SDK selection, multi-agent architecture, progressive evaluation (L1-L12), retrieval strategies, intent classification, math code generation, self-improvement loops with patch proposer and reviewer voting, and memory export/import.

Comprehensive knowledge of amplihack framework architecture, patterns, and…

Analyzes problems and designs system architecture before implementation.

Scrape authenticated websites from WSL2 using Edge CDP. Launches headed Edge for user auth, then headless scraping via Chrome DevTools Protocol. Use when mirroring internal wikis, docs sites, or any site requiring 2FA/SSO login.

Monitors awesome-copilot releases for drift against the amplihack integration. Checks latest commits on github/awesome-copilot via the GitHub API and reports whether the local integration is current or has drifted behind upstream changes. Use when auditing integration freshness or before updating awesome-copilot features.

Comprehensive Azure administration capabilities covering identity management, resource orchestration, CLI tooling, and DevOps automation. Auto-activates for Azure, az cli, azd, Entra ID, RBAC, and infrastructure tasks.

Curmudgeonly engineering advisor that provides grounded skepticism, evidence-linked judgment, and constructive progress on architectural decisions, legacy refactors, tooling choices, and broad "how should I start?" questions. Sounds like a senior systems engineer who has reviewed too many designs to be impressed, but still cares about correctness. Use when: architectural decisions, legacy replacements, new tooling evaluation, broad planning questions.

Comprehensive .NET exception handling quality improvement workflow. Auto-detects .NET projects, investigates 10 common exception handling mistakes, generates prioritized findings, and orchestrates fixes following best practices.

Interactive debugging via DAP-MCP for multiple languages with natural language…

Generates comprehensive end-to-end test scenarios using outside-in methodology. Supports 5 app types: Web (Playwright), CLI, TUI, API, and MCP (gadugi YAML). Auto-detects app type or accepts explicit override.

Analyzes technical systems and problems through engineering lens using first principles, systems thinking, design methodologies, and optimization frameworks.

Analyzes moral dimensions and value conflicts through ethical frameworks using deontology, consequentialism, virtue ethics, and applied ethics methodologies.

Autonomous co-pilot — agent formulates goal from natural language, enables lock mode with SessionCopilot reasoning, works until goal is achieved.

Adopt GitHub Agentic Workflows (gh-aw) in any repository. Investigates existing workflows, identifies gaps, creates agentic workflows, and handles CI/merge issues. Auto-activates for gh-aw adoption, agentic workflow setup, or workflow automation requests.

Generates comprehensive GitHub activity reports across all authenticated accounts. Gathers repos, PRs, features, and themes for configurable time periods (1/5/7/30/90 days). Produces shareable markdown with tables, mermaid charts, and executive summaries. Can create a private repo with GitHub Actions automation and GitHub Pages aggregation site. Use when: "github report", "work report", "activity summary", "what did I work on", "gh-work-report", "show my github activity".

Gherkin/BDD specification expert for writing behavioral scenarios, acceptance criteria, and applying structured specifications to improve code generation…

Guides architects on when and how to use goal-seeking agents as a design pattern.

Analyzes events through historical lens using source analysis, comparative history, periodization, causation, continuity/change, and contextualization frameworks.

Analyzes events through indigenous knowledge systems using relational thinking, seven generations principle, reciprocity, holistic integration, and traditional…

6-phase investigation workflow for understanding existing systems. Normally executed as a sub-recipe by dev-orchestrator/smart-orchestrator. Supports direct invocation via recipe runner for standalone use.

Analyzes events through journalistic lens using 5 Ws and H, investigative methods, source evaluation, fact-checking, newsworthiness criteria, and ethical journalism…

Creates personalized learning paths for technologies, frameworks, or concepts.

Checks whether a pull request satisfies the project's merge criteria and records the required evidence in the PR description. Use with /merge-ready before review or merge when QA-team scenarios, docs links, quality-audit convergence, CI status, and diff scope must be verified.

Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3.