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Workflow, prompt, retrieval logic, or orchestration pattern
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Based on SOC occupation classification
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npx skills add https://github.com/Farrice/mes-knowledge-base --skill source-command-self-evolveThe command stays on one line. Scroll horizontally to inspect it before copying.
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Showing SKILL.md
The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.
The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).
Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.
| name | source-command-self-evolve |
| description | Workflow, prompt, retrieval logic, or orchestration pattern |
Use this skill when the user asks to run the migrated source command self-evolve.
This project wrapper follows .agent/workflows/self-evolve.md as the canonical
behavior source. It must stay a thin compatibility wrapper with no competing
behavior contract.
Verification phrases: canonical behavior source; complete goal packet; real Codex subagents require explicit authorization; no competing behavior contract.
Preserve the current Self-evolve contract: mutation-gated measured evolution;
queue-only diagnosis for incomplete or vague goal packets; complete goal
packet; Evolution Council Verdict; baseline; search set; measurable stop
condition; turn cap; proof artifact; no-regression check; local, reversible
side effects; human checkpoint for risky changes;
verify_mission_activation_contract.py before any approved Mission repair; and
real Codex subagents require explicit authorization.
Read and execute the workflow at .agent/workflows/self-evolve.md — Workflow, prompt, retrieval logic, or orchestration pattern