git-safety-net

Claude Code operations suite that bundles archive-aware local conversation discovery across Claude Code and Codex, internal-timestamp full-event session search and recovery, interrupted-work continuation, plugin/skill troubleshooting, CLAUDE.md progressive disclosure optimization, statusline configuration, exported .txt repair, full claude.ai conversation extraction with tool-call rendering and file download, plugin marketplace development, writing/testing/debugging Claude Code hooks, multi-provider profile isolation for running Kimi/GLM/DeepSeek/StepFun/Anthropic in separate windows, local source sync for Claude/Codex skill installs, personal-memory migration into tool-agnostic AGENTS.md reference docs, and terminal-output-to-PNG rendering for visual CLI verification under one shared namespace. Install once to get the full Claude Code power-user toolkit.

Audio processing suite covering the full speech pipeline: ASR transcription (Qwen3, StepFun) with batch-mode guards against music-only repetition-loop hallucinations, speaker diarization and CAM++ voiceprint identification for multi-speaker recordings, transcript error correction, structured meeting minutes generation, and TTS voice synthesis (StepFun). Install once for the complete audio workflow.

Audits already-rendered web, landing-page, HTML deck/slide, browser tool/game, dashboard/admin, design-system, and desktop UIs with real-browser or native-app journeys, inspected screenshots, DOM geometry, responsive or projection viewports, and a Playwright sweep. Use after implementation to find typography, wrapping, overlap, overflow, responsive, route, authorization-state, overlay, map, transient-state, data-visualization, runtime-label, browser-output, file-dialog, PDF/print, or Electron-shell defects. Not for greenfield UI design, design-system extraction, general QA-program setup, or nonvisual debugging.

Safely package codebases with repomix by automatically detecting and removing hardcoded credentials before packing. Use when packaging code for distribution, creating reference packages, or when the user mentions security concerns about sharing code with repomix

Test/evaluate any LLM behind an OpenAI- or Anthropic-compatible endpoint: availability (max_tokens-aware), request fidelity (does system prompt/tools/history REACH the model, or does the gateway silently drop it), speed (TTFT+tok/s), concurrency (before a workshop), Anthropic protocol compliance, quality regression, vendor bug reports, deployment gates, resident canaries. Reach for this BEFORE hand-rolling a curl loop against any LLM endpoint — that instinct is the trap: it skips the N=10 sampling, Connection:close, and env-var key handling this bakes in. Use when someone tests/benchmarks/测评/压测 a model/endpoint, onboards a provider, decides whether to switch or temporarily fail over to an alternate channel (e.g. outage or quota exhaustion), writes a supported-models list, debugs "model ignores system prompt", or verifies a tok/s claim. Triggers on "benchmark this model", "测一下这个模型/渠道/API", "接入新模型先测一下", "system prompt 不生效", "这个渠道能不能用/稳不稳", "临时切换过去顶一阵子" — even without "eval", even wrapped in business narrative.