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Git Context Controller (GCC) v2 — Lean agent memory backed by real git. Stores hash + intent + optional decision notes instead of verbose markdown. Auto-bridges to aiyoucli vector memory when available. Dual mode: git-backed (lean index.yaml) or standalone (markdown fallback). Triggers on /gcc commands or natural language like 'commit this progress', 'branch to try an alternative', 'merge results', 'recover context'.
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Run the pilot-facing Week Close protocol with progress review and carry-over.
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Execute Anarlog work immediately while recording issues, decisions, progress, and lessons in Linear. Use for Anarlog repository or Anarlog desktop, web, mobile, and API work, including related worktrees and ANLG issues. Explicit brainstorming stays discussion-first. Do not use for unrelated repositories or meeting-data queries.
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Plan and execute your second and third contributions to become a regular contributor. Covers relationship building, progressive complexity escalation, and community presence. Use when your first PR was merged and you want to keep contributing, when transitioning from one-off contributor to regular, or when planning a sustained OSS involvement. Not for your first contribution — use the oss-find-issue → oss-contribute chain for that.
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Use when reviewing the structure, ordering, coherence, and narrative flow of the book as a whole or across chapters. Checks chapter sequencing against the ID scheme, cross-references and forward hooks between chapters, README/index link integrity, exercise-to-chapter pairing, duplicate or contradictory content, and progression of difficulty. Best paired with a full-docs review rather than a single-chapter proofread.
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Run the full content pipeline in one command — brief, write, gate, log. Progress updates between steps. 5-minute timeout with partial state recovery.
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Create a GitHub issue, assign to current user, and set status to In Progress
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Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
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Use when the user asks about evolution progress, current scores, best version, how many iterations ran, or whether the loop is stagnating.
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Session wrap-up: consolidates every descriptive markdown file (README.md, AGENTS.md, HANDOFF.md, docs/*) into ONE canonical CLAUDE.md, then reconciles it against the current code state so a fresh session or new teammate can pick up immediately. CLAUDE.md keeps a mandatory PROGRESS block at the top answering two questions: where are we now and what's the next concrete action. Trigger when the user says: "wrap", "wrap up", "/wrap", "tidy docs", "sync docs", "update docs", "archive", "this phase is done", or the Chinese equivalents "收尾", "同步文档", "整理文档", "整理一下", "更新文档", "存档", "梳理一下", "这阶段做完了". A bare "tidy" / "整理" with prior dev context counts. Do not under-trigger.
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Use when running ANY terminal command - enforces clear progress logging, output reading, and error-stop behavior so terminal processes are never left unchecked
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Skill Chain Engine — compose skills into automated pipelines. One task triggers multi-skill workflows with progress tracking, auto-detection, and step management.
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Progressive Disclosure skill index — efficient skill loading in 3 layers. Layer 1 (index, ~100 tokens) always loaded. Layer 2 (summary, ~300 tokens) loaded on context need. Layer 3 (full SKILL.md) loaded on execution only.
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View a quick progress summary of current tasks.
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Strategic codebase re-direction when requirements change, architecture doesn't fit, or tech debt blocks progress. TRIZ-powered pivot protocol for large codebases.
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Compare browser-agent reliability on a repeatable task and anti-bot suite before choosing a stack or claiming progress.
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Manages ArgoCD Application and ApplicationSet resources for Kubernetes GitOps deployments. Uses the ArgoCD REST API and argocd CLI to automate sync waves, health checks, and progressive rollout configurations.
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Monitors ArgoCD application sync status via the ArgoCD REST API and argocd CLI. Detects OutOfSync conditions, tracks sync wave progress, and alerts on failed sync operations with detailed resource diff analysis using argocd app diff.
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Manages ArgoCD application syncs using the argocd CLI and the Argo CD REST API (v1alpha1). Supports progressive delivery with Argo Rollouts integration and automated health checks via Kubernetes readiness probes.
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Integrate Audiobookshelf's self-hosted audiobook and podcast server into AI agent workflows. Agents can manage libraries, track listening progress, search metadata, and automate podcast episode downloads through the comprehensive REST API.
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Manages ArgoCD application sync waves and hooks using the ArgoCD API and argocd CLI. Coordinates multi-application deployment ordering with sync-wave annotations, health checks, and progressive rollout gates.
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Manages ArgoCD Application sync waves and hooks through the ArgoCD REST API and Kubernetes custom resources. Uses kubectl diff and Helm template rendering to validate manifests before triggering progressive rollouts via Argo Rollouts.
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Orchestrates deployment pipelines using the Argo Workflows Engine API and Argo CD ApplicationSet controller. Implements progressive delivery with Argo Rollouts canary and blue-green strategies.
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Gives Claude Code operators a live dashboard for multi-agent sessions, tool calls, file activity, and nested task progress so debugging starts from what the agents are actually doing.
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