Use when a neural network grows, prunes, composes modules or adapts across tasks and needs lifecycle, gradient-isolation or state-integrity checks.
Plugin yzmir-dynamic-architectures from marketplace foundryside-marketplace in tachyon-beep/skillpacks. Commands read from the repo's manifest — 1 month ago.
using-dynamic-architecturesUse when a neural network grows, prunes, composes modules or adapts across tasks and needs lifecycle, gradient-isolation or state-integrity checks.
/yzmir-dynamic-architectures:design-lifecycleDesign neural-module lifecycle transitions with task-specific source and runtime evidence.
/yzmir-dynamic-architectures:diagnose-growthDiagnose growth or integration faults with task-specific source and runtime evidence.
dynamic-architecture-advisorDesign or assess a growable network 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
Dynamic Agentic Architecture with cognitive patterns, knowledge sharing, and adaptive agents
2 skills · 1 command · 1 agent
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Agent skills for building on, analyzing, and managing Microsoft Dataverse — with Dataverse MCP, PAC CLI, and Python SDK.
10 skills
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
Nightly offline self-evolution for this repo's Claude agent: harvests past Claude Code sessions (read-only), mines recurring tasks, replays them offline on your own API budget, and consolidates learnings into validated CLAUDE.md memory and SKILL.md skills behind a held-out gate, staged for review (never auto-applied). Verbatim vendor of microsoft/SkillOpt's stdlib-only skillopt_sleep engine + Claude Code plugin surface (MIT).
1 skill · 1 command · hooks
Validates security patches against the reported bug, root-cause variants, and surrounding behavior. Returns reproducible failures to repair and validation gaps, with pinned inputs and saved evidence. Bundles a validate-patch dynamic workflow for Claude Code.
1 skill
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