This repository contains Agent Skills for Codex CLI & Antigravity CLI environments. Place skills in ~/.agents/skills/ or ~/.gemini/skills/.
V8.0 updates the Obsidian Vault to full OCD Gold-Standard standards, adding an explicit 5-Stage Worker Assembly Pipeline (workflows/worker-flows.md and tools/worker_flow_engine.py):
- Worker 1 (Ingest): Immutable source creation (
sources/YYYY-MM/) + SHA-256 + block anchors^.... - Worker 2 (Cognitive): Gold-Standard concept cards with Mermaid, paradigm matrices, and evidence bounds.
- Worker 3 (GraphWeaver): MOC navigation, Home.md / Central Index updates, and Canvas mapping.
- Worker 4 (Governance): YAML validation, link & block ref verification, KPI updates, and test suites.
- Worker 5 (Deliverable): Actionable outputs (
wiki/outputs/), strategic memos, and daily OKR loop completion.
- wiki-ingest — STOW pipeline (Source → Transform → Organize → Write-back) with 13-domain concept placement, 5-category entity placement, block refs, Karpathy understanding gate, and post-ingest lint.
- knowledge-ops — Multi-layer knowledge management with Markdown-first retrieval, optional vector storage, evidence hierarchy, deduplication, Agent/Wiki flywheel, and knowledge debt queues.
- wiki-lint — Wiki health check for graph integrity, provenance, link health, taxonomy compliance, clipping lifecycle, understanding, and promotion readiness.
- daily-okr — 7 Key Results daily knowledge compound cycle (Input → Cognition → Wiki → Behavior → Creativity → Output → Feedback).
- cognitive-compile — 8-section deep learning compile framework (Question → Facts → Concepts → Patterns → Conflicts → Hypotheses → Decision → Action).
- behavior-design — Behavior change system with HAS (Human Agency Scale) framework.
- creativity-engine — Combinatorial ideation (Bending / Breaking / Blending) + minimum experiments.
- deep-research — STOW-compatible research harness with preflight, source/claim ledgers, activity trace, citations, and wiki-ingest handoff.
- verify-before-claim — Verification-first quality gate. No completion claims without empirical logs or test receipts.
- session-learn — Knowledge extraction with Closure Protocol.
- project-flow-ops — Project triage, state tracking, and execution governance.
- context-manager — Runtime-derived context budgets, checkpoints, compaction, retrieval, and capability routing.
token-cost-trackeris a command undercommands/, not an Agent Skill.
- agentic-engineering — Agent-as-process workflow refactoring with autonomy defaults, delegated-action boundaries, state checkpoints, write-back, and verification gates.
- loop-engineering — Temporal-depth control through bounded Trigger → Execute → Verify → State loops, durable contracts, hard budgets, and stop/recovery rules.
- graph-engineering — Dependency-width control for bounded static DAGs with explicit dependencies, independent branches, typed joins, and node-local recovery.
- harness-engineering — Runtime kernel design: scheduler, permissions, tools as system calls, MCP/Skills/Hooks selection, provenance ledgers, observability, and recovery.
- agent-teams-command — Multi-agent process ownership, IPC, worktree isolation, async budget envelopes, parallel subagent orchestration, and evidence gates.
- startup-evaluation — Startup health diagnosis with entrepreneurship, VC 5T, PMF, runway, team, and next-test frameworks.
- anthropic-os — Self-evolving work method engine with 3B creativity algorithms.
- ai-six-sigma-property-os — AI + Ontology + DMAIC Black Belt operating model for property work orders, dispatch, quotes, evidence, CTQ dashboards, and MVP quality control.
wiki/concepts/(13 Domains):ai-engineering,ai-economics,ai-science,behavioral-econ,business-strategy,entrepreneurship,general-concepts,geopolitics-energy,identity-culture,investing-macro,investing-quant,investing-vc,knowledge-systems.wiki/entities/(5 Categories):people,companies,funds-investors,products,orgs.sources/(6 Pools):YYYY-MM/(e.g.2026-07/),pre-2026/,books/(>100KB).wiki/outputs/(3 Categories):gmail-digests/,evaluations/,compilations/.maps/(4 Tiers):domain-mocs/,system-indexes/,project-maps/,canvases/(plusHome.md&中央索引.md).
When selecting a skill, read its frontmatter before executing:
assumes— required operating assumptions.conflicts_with— boundaries that must not be silently overridden.metadata.profile—one-shot,stateful,loop, orhigh-riskcontrols.## Failure Protocoland## Output Contract— standard stop status and receipt.## Success Metrics— minimum observable result for one successful run.## Quality Gates— checks that must pass before claiming completion.
LLM=CPU · Context=RAM · Storage=Disk · Tools=System Calls · Skills=Programs · Harness=Kernel · Agent Teams=Processes