Use when an RL controller decides when or how to change neural-network topology and needs governor, rollback, replay or fair-evaluation checks.
Plugin yzmir-morphogenetic-rl from marketplace foundryside-marketplace in tachyon-beep/skillpacks. Commands read from the repo's manifest — 1 month ago.
using-morphogenetic-rlUse when an RL controller decides when or how to change neural-network topology and needs governor, rollback, replay or fair-evaluation checks.
/yzmir-morphogenetic-rl:diagnose-growth-pathologyDiagnose a mutation controller pathology with task-specific source and runtime evidence.
/yzmir-morphogenetic-rl:scaffold-morphogenetic-experimentScaffold a topology-changing experiment with task-specific source and runtime evidence.
governor-design-reviewerReview a mutation governor with task-specific source and runtime evidence.
morphogenesis-reviewerReview topology-changing RL evidence with task-specific source and runtime evidence.
Use when drafting, revising, critiquing, or planning prose fiction or creative nonfiction, especially when author voice, continuity, genre expectations, or truth claims need deliberate treatment.
1 skill · 3 commands · 11 agents
Use when documentation accuracy, executable procedures, institutional register, sensitive information, or source-to-document traceability needs deliberate review.
2 skills · 4 commands · 5 agents
Use when reconstructing an existing codebase: source-linked architecture, dependency and risk findings, coverage limits and incremental refresh.
1 skill · 5 commands · 4 agents
Use for Rust-specific ownership/API, async cancellation, unsafe/FFI soundness, feature/toolchain compatibility, diagnostics, packaging or profiling problems in a real crate.
1 skill · 5 commands · 3 agents
Use when an organization explicitly selects a software governance profile requiring lifecycle evidence, traceability, risk decisions or measurement.
5 skills · 4 agents
Use when test reliability, isolation, coverage gaps, performance experiments, resilience, or release evidence needs investigation or a concrete verification strategy.
1 skill · 5 commands · 3 agents
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
1 skill · 3 commands · 1 agent
LLM application development, prompt engineering, and AI assistant optimization
5 skills · 3 commands · 2 agents
LLM application development, prompt engineering, and AI assistant optimization
5 skills · 3 commands · 2 agents
LLM application development, prompt engineering, and AI assistant optimization
4 skills · 3 commands · 2 agents
AI & Agents bundle — 388 curated skills (agents, ai-ml, prompt-engineering) for Claude Code, Codex & Antigravity.
200 skills
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