القائمة
Brain Graph, Knowledge Base, Ingest, Lint, Cross-reference
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Employ this skill to define strict request/response data contracts and safety layers (OpenAPI, Zod).
Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress FILEPATH or "compress memory file"
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Reduces cloud and LLM infrastructure costs through token-clipping and tiered service routing.
Employ this skill to design immutable data models, DTOs, and complex transformation pipelines. It ensures data integrity by enforcing immutability by default. Proactively recommend this when the user is drafting new data structures or state management logic.
Master orchestrator for UI/UX audits and Frontend debugging.
| name | brain-graph |
| description | Brain Graph, Knowledge Base, Ingest, Lint, Cross-reference |
| activation | when user wants to ingest markdown files into the brain graph, query it, or lint it. |
| version | 0.0.1 |
brain-graph)This skill integrates a structural Brain Graph pattern to give AI a persistent, compounding memory across the entire project. It uses a Smart Vibe Coding (Autonomy Matrix) to balance automation with human oversight.
/orion-ingest <path-or-glob>Executes python .agents/scripts/orion.py orion_ops ingest <path>.
Classifies a raw markdown file, calculates its source_sha256, and updates the .orion/ graph.
Phase 1 (Python/Background):
[NEW] pages or simple [EXTEND] actions silently.[CONTRADICT] or [VIOLATION] occurs, stop and emit a TRIAGE_REPORT for human approval.[TRIPLET_REQUEST] if successful.Phase 2 (IDE Agent Delegation):
If [TRIPLET_REQUEST] is printed:
python .agents/scripts/orion.py orion_ops inject_triplets '<json>'./orion-query <node_name>CRITICAL ACTION: You MUST execute run_command with python .agents/scripts/orion.py orion_ops resolve "<node_name>" NOW. Do not use manual grep_search. The resolver will automatically inject the target file's content, its forward links, and its backlinks (the graph neighborhood) into your context.
/orion-lintChecks all ingested sources against the raw files.
balanced or high.page|extends, page|contradicts, page|implements. Do not use plain wikilinks.weight: <1-10> in the frontmatter. High-impact nodes (e.g., core architecture) receive higher weights. orion_ops.py resolve prioritizes high-weight nodes during token eviction..agents/canons/) always receive confidence: canonical. Any context that contradicts a canon is a [VIOLATION].context/. All orion outputs go to .orion/.