agent-ready-engineering
claudeMake codebases ready for reliable human and agent work
1 skill
Design patterns for local-first AI apps — provider abstraction, RAG retrieval and ingestion hygiene, citation UX, streaming, scoped cancellation, demo-corpus design
Plugin building-local-ai-apps from marketplace thrashr888-agent-kit in thrashr888/thrashr888-agent-kit. Commands read from the repo's manifest — 1 month ago.
building-local-ai-appsDesign patterns for local-first AI desktop apps — provider abstraction (Ollama / OpenAI-compatible gateways), RAG retrieval and ingestion hygiene, citation UX that loops back to sources, streaming and scoped cancellation, chat-loop details, and demo-corpus design. Use when building or reviewing a lo
Make codebases ready for reliable human and agent work
1 skill
Review user-facing copy for machine-sounding writing, then codify the owner's voice in a repo WRITING.md
1 skill
Find why a Tauri app crashed, froze, or failed silently — crash reports, the unified log, debug-bridge history — and build the capture so next time there is something to read
1 skill
Automate and verify running Tauri apps with tauri-browser — snapshots, React-safe fills, screenshots, direct command invokes, demo seeding
1 skill
Release workflows for Rust CLI, macOS apps, Python/uv, and Next.js projects
1 skill
Prepare and resume concise work handoffs with verified state, constraints, blockers, and next actions
1 skill
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
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
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