القائمة
Deep learning compile framework — transforms raw information into actionable judgment. Use when the user wants to deeply understand a topic, not just capture it.
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
Command V6 multi-agent work with bounded roles, ownership, worktree isolation, IPC, integration gates, cleanup, attention budgets, and verification loops. Use when the user needs Claude Code Agent Teams, parallel agents, delegation strategy, Ender-style commander training, von Neumann-style command architecture, Palantir-style ontology command boards, FDE field discovery, EDD integration gates, dynamic workflow tradeoffs, or multi-agent orchestration grounded in Obsidian wiki operating rules.
Multi-source deep research — search, synthesize, and deliver cited reports. Use when the user wants thorough research on any topic with evidence, citations, AI-era scientific-method boundaries, AutoResearch feasibility checks, source/claim ledgers, uncertainty handling, and STOW wiki handoff.
Design V6 runtime infrastructure around AI agents — permissions, tools, MCP/Skills/Hooks, feedback loops, observability, scheduled routines, von Neumann-style runtime architecture, and governance. Use when deploying agents to production, designing multi-agent systems, building agent harnesses, or turning Obsidian wiki rules into bounded runtime controls.
Turn a repeatable task into a bounded, evidence-driven agent loop. Use when Codex needs to decide whether a task merits a Goal, Loop, Automation, or AutoResearch pattern; define a loop contract; check trigger/state/tools/codebase readiness; choose single-agent versus maker-checker versus manager-workers topology; prevent runaway iteration; or repair a loop that stalls, self-grades, exceeds review budget, or writes without verified evidence.
Design or refactor agent skills, workflows, operating loops, and V6 knowledge-OS upgrades for model-native Agentic Engineering. Use when making skills more autonomous, concise, verifiable, long-horizon capable, token-efficient, lower-friction for human-LLM collaboration, or ready to promote Obsidian wiki learning into reusable agent behavior.
Execute a V6 daily knowledge compound closed loop — 7 Key Results from input to feedback with scoring, evidence, wiki write-back, and optional scheduled Obsidian daily-loop note. Use when the user wants to do a daily review, plan their day, run a knowledge workflow, or complete the generated daily knowledge-management loop.
| name | cognitive-compile |
| description | Deep learning compile framework — transforms raw information into actionable judgment. Use when the user wants to deeply understand a topic, not just capture it. |
| version | 1.2 |
| updated | 2026-05-22 |
| assumes | The task requires deeper understanding or judgment, not only capture or storage. |
| conflicts_with | Do not use when the user only needs ingestion; run wiki-ingest before synthesis when source capture is missing. |
Transform raw information into structured understanding and actionable judgment through 8 explicit sections.
Prompt
Use cognitive-compile on this topic. Move from question to facts, concepts, pattern recognition, conflict detection, hypothesis generation, decision support, and action.
Use Case
Expected Result
Output Example
Verification Case
Verified Effect
Define the core question that makes this exploration worthwhile.
Why does this matter?
What am I trying to understand?
What decision will this inform?
Extract verifiable claims from the source. Separate observation from interpretation.
Map the intellectual terrain.
Connect new knowledge to existing mental models.
Surface tensions, contradictions, and gaps.
> [!warning] ContradictionTurn insight into testable propositions.
If X is true, then Y should happen when I try Z.
The cheapest way to test this is...
The evidence that would falsify this is...
Form a tentative thesis — not final truth, but best current understanding.
On balance, the evidence suggests that...
The key insight that changes my mental model is...
I'm most uncertain about...
This changes my next decision by...
Convert understanding into action.
Save the compile result to the wiki as a concept page or atomic note with these frontmatter fields:
---
type: concept | atomic-note
knowledge_stage: captured | cross-checked
evidence_level: single-source | multi-source
---