Personal collection of Claude Code plugins, published as a marketplace.
tc: input.json to output.json, diffed against expected.json.tk, a git-backed issue tracker for AI agents.~/.claude/.notes/, structured decision log, and timestamped journal entries.Three plugins work together to manage project knowledge:
| Store | Plugin | Contract | Purpose |
|---|---|---|---|
specs/ | spec-driven-dev | Strongest | Behavioral truth — Gherkin scenarios, verified before shipping |
docs/ | (none needed) | Strong | Durable reference — maintained, authoritative |
notes/DECISIONS.md | project-notes | Medium | What was decided — concise dcn-xxxx entries |
notes/ | project-notes | Weak | Working knowledge — may go stale |
notes/journal/ | project-notes | Weakest | Timestamped snapshots — decay over time |
project-knowledge provides routing rules for deciding where information should live and where to look for it.
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npx claudepluginhub a3lem/my-claude-plugins --plugin python-rulesMinimal file-based ticket system with dependency tracking for humans and AI agents
Skills for using shablon, a CLI that renders Jinja2 templates from a .shablon/ directory into a project tree.
File-based inter-agent messaging for parallel Claude Code sessions
Spec-driven development system with structured directories for requirements, design, tasks, and notes
Automatically prompt execution of Session Setup steps from CLAUDE.md on session start
Hybrid RAG rule retrieval + session-aware workflow enforcement. Injects relevant coding rules via a 5-stage pipeline (BM25 + vector + graph traversal + RRF ranking) and enforces mode-based workflow gates (plan -> tests -> implementation).
Automatic context engineering — observes your coding sessions and generates rules, suggestions, skills, and hooks so Claude gets smarter on your codebase over time
Continuous self-referential AI loops for interactive iterative development, implementing the Ralph Wiggum technique. Run Claude in a while-true loop with the same prompt until task completion.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Permanent coding companion for Claude Code — survives any update. MCP-based terminal pet with ASCII art, stats, reactions, and personality.