claude-self-learning-os

LLM-maintained development wiki for software projects. Two modes: CONCEIVE (develop software concept from idea to architecture) and TRACK (manage ongoing development with sprints, decisions, deployments, learnings). Creates and maintains an Obsidian-compatible wiki that accumulates project knowledge across sessions. Triggers on: 'dev wiki', 'wiki', 'init wiki', 'start project', 'new project', 'project wiki', 'knowledge base', 'track development', 'development plan', 'sprint planning', or when starting a new software project. ⛔ NOT: за sync на СЪЩЕСТВУВАЩ codebase wiki от source (ползвай wiki-sync).

Safe, project-aware fix workflow for the 4-layer ecosystem. Enforces impact-check BEFORE editing, surgical change, verify AFTER, and logs the gotcha — so fixes don't break other things and the lesson is captured. Use when the user says 'поправи', 'оправи', 'fix this', 'счупи се', 'fix the bug/error', or asks to fix anything in a project under {{CODE_PATH}}. NOT for finding an unknown root cause (use systematic-debugging first).

Autonomous self-improvement loop — adversarial audit → grouped fixes → fresh-eyes verify → repeat until dry, with PROOF of completion at every step. Use when the user says "improve the system", "self-improvement loop", "намери и поправи слабостите", "пусни loop на самоподобрения", "одит и оправи всичко", "направи го перфектно", or wants a full find→fix→verify cycle where "done" must be demonstrated, never claimed.

Generic knowledge base ingest skill for any Karpathy-method research wiki. Automatically processes new RAW files (raw/transcripts/*.md) into wiki summaries, updates index.md, hot.md, knowledge_graph.json, NotebookLM, and processed.json. Use when: "обнови wiki", "провери за нови файлове", "ingest", "нови raw файлове", or when user adds .md files to a raw/transcripts/ folder. Configure per-project via KB_CONFIG.md in the wiki base directory. Works for: Claude Trading, Claude Code Research, AI Video, or any new research wiki.

Builds a compact JSON knowledge graph for a software project, enabling ~70x token savings compared to scanning source files. Creates knowledge_graph.json (meta + architecture + critical_rules + clusters) and per-cluster Obsidian .md files for RAG-style access. Triggers on: 'graphify', 'knowledge graph', 'map the project', 'build graph', 'create graph', 'граф на проекта', 'знания граф', or when starting work on a new project without an existing graph.

Bootstrap a new project with the full 4-layer memory architecture (Pinecone + Obsidian Wiki + GitNexus + CLAUDE.md). Use when user says "setup 4-layer for <project>", "add memory architecture", "onboard <project> to memory ecosystem", "init memory for new project", or similar. Creates reproducible infrastructure that cuts session startup tokens 40-180x across projects.

Monitors and optimizes token usage across sessions. Audits instruction files, learnings, memory, and source code for bloat. Run periodically or on-demand to keep costs minimal.