abstract
Skill authoring, hook development, evaluation frameworks, and escalation governance for the Claude Code plugin ecosystem
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@athola · last active ago
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Skill authoring, hook development, evaluation frameworks, and escalation governance for the Claude Code plugin ecosystem
Architecture paradigm selection and implementation planning: 14 paradigms from functional-core to hexagonal to microservices
Codebase learning through knowledge extraction, code knowledge graph, adaptive challenges, and spaced repetition for developer onboarding and fluency
Full-cycle project development: brainstorm, specify, plan, initialize, execute, and polish with war-room deliberation for strategic decisions
Codebase visualization: architecture, data flow, dependency, call chains, community detection, and class diagrams via Mermaid Chart MCP
GitHub issue management, label taxonomy, and initiative tracking: turns repositories, issues, and projects into status dashboards
Documentation review, cleanup, and generation with AI slop detection, style learning, and human-quality writing enforcement
Delegate tasks to external LLMs (Gemini, Qwen) with cheapest-capable model selection while retaining strategic oversight
Context optimization, bloat detection, CPU/GPU monitoring, and token conservation for efficient Claude Code sessions
Autonomous agent orchestrator: parallel worktree execution, agent specialization, cross-item learning, and crash recovery
Standalone notification system: GitHub issue alerts and webhook support for Slack, Discord, and generic endpoints.
TDD enforcement, proof-of-work validation, scope guarding, rigorous reasoning, and research-enriched feature review with RICE/WSJF/Kano scoring
Foundation infrastructure: auth flows, quota management, error patterns, markdown formatting, trust verification, and injection detection
Spatial knowledge organization with memory palace techniques: build, navigate, and maintain virtual memory structures with PR review capture
ONNX Runtime inference daemon for ML-enhanced plugin capabilities with local model inference over HTTP and opt-in activation
Python development suite: testing, performance optimization, async patterns, and packaging guidance
Multi-discipline code review: architecture, bugs, APIs, blast radius analysis, security, tests, Makefiles, and NASA Power of 10 analysis
Computer use toolkit for driving desktop environments through Claude's vision and action API with screenshot capture, mouse/keyboard control, and an autonomous agent loop
Git workflows: commit messages, PR preparation, documentation updates, version management, sessions, and deferred-item capture
Media generation: terminal recordings (VHS), browser recordings (Playwright), GIF processing, and media composition
Specification-driven development: structured specs, implementation planning, and task orchestration for systematic feature delivery
Multi-source research: code archaeology, community discourse (HN, Reddit), academic literature (arXiv, Semantic Scholar), and TRIZ cross-domain analysis
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