Suggests running verbose shell commands through RTK, a tool that condenses command output, and executes them after confirmation. It helps reduce the text an AI agent processes when reviewing Git history, tests, builds, and files.
中文简介正在准备中。当前显示英语简介。
Wrap high-verbosity shell commands with RTK to reduce token consumption. Use when running git log, git diff, cargo test, pytest, or other verbose CLI output that wastes context window tokens.
安装前可以查看交给 AI 代理的指令内容。
Purpose: Automatically suggest RTK wrappers for high-verbosity commands to reduce token consumption.
git log → rtk git log (92.3% reduction)git status → rtk git status (76.0% reduction)find → rtk find (76.3% reduction)git diff → rtk git diff (55.9% reduction)cat <large-file> → rtk read <file> (62.5% reduction)pnpm list → rtk pnpm list (82% reduction)pnpm test / vitest run → rtk vitest run (90% reduction)cargo test → rtk cargo test (90% reduction)cargo build → rtk cargo build (80% reduction)cargo clippy → rtk cargo clippy (80% reduction)pytest → rtk python pytest (90% reduction)go test → rtk go test (90% reduction)gh pr view → rtk gh pr view (87% reduction)gh pr checks → rtk gh pr checks (79% reduction)ls → rtk ls (condensed output)grep → rtk grep (filtered output)User: "Show me the git history"
Skill: Detects git log → Suggests rtk git log → Explains 92.3% token savings
User: "Find all markdown files"
Skill: Detects find → Suggests rtk find "*.md" . → Explains 76.3% savings
Before first use, verify RTK is installed:
rtk --version # Should output: rtk 0.16.0+
If not installed:
# Homebrew (macOS/Linux)
brew install rtk-ai/tap/rtk
# Cargo (all platforms)
cargo install rtk
# When user requests high-verbosity command:
1. Acknowledge request
2. Suggest RTK optimization:
"I'll use `rtk git log` to reduce token usage by ~92%"
3. Execute RTK command
4. Track savings (optional):
"Saved ~13K tokens (baseline: 14K, RTK: 1K)"
Optional: Track cumulative savings across session:
# At session end
rtk gain # Shows total token savings for session (SQLite-backed)
Enable via CLAUDE.md:
## Token Optimization
Use RTK (Rust Token Killer) for high-verbosity commands:
- git operations (log, status, diff)
- package managers (pnpm, npm)
- build tools (cargo, go)
- test frameworks (vitest, pytest)
- file finding and reading
Based on real-world testing:
git log: 13,994 chars → 1,076 chars (92.3% reduction)git status: 100 chars → 24 chars (76.0% reduction)find: 780 chars → 185 chars (76.3% reduction)git diff: 15,815 chars → 6,982 chars (55.9% reduction)read file: 163,587 chars → 61,339 chars (62.5% reduction)Average: 72.6% token reduction
Use RTK for: git workflows, file operations, test frameworks, build tools, package managers Skip RTK for: small outputs, quick exploration, interactive commands
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Evaluate Claude Code agents, skills, and commands with weighted quality criteria. Get scores, readiness grades, template comparisons, and practical improvement suggestions in Markdown or JSON reports to guide reviews before release.
中文简介正在准备中。当前显示英语简介。
Assess a codebase across seven areas, including exposed credentials, security, dependencies, structure, and tests. Receive category scores, findings tied to file locations, and a prioritized improvement plan with smaller tasks that can be completed quickly.
中文简介正在准备中。当前显示英语简介。
Measure code patterns such as casts to any or disabled lint rules, then run repeated, targeted edits. Keep changes that improve the chosen metric, revert unsuccessful changes, and track results for each improvement loop.
中文简介正在准备中。当前显示英语简介。
Generate several separate solutions, compare them against criteria fixed in advance, and verify the selected result through executable checks or an independent reviewer. Keep a proof log documenting candidates, evidence, failures, and remaining limits.
中文简介正在准备中。当前显示英语简介。
Monitor a live application after deployment and compare it with a saved baseline, a record of its earlier state. Check page responses, loading times, and new errors, flag persistent changes, and produce a per-page health report.
中文简介正在准备中。当前显示英语简介。
Rebuild project context after clearing a conversation or returning to work. Review recent Git history, uncommitted changes, and TODO markers to get a structured summary of project status and suggested next steps.
中文简介正在准备中。当前显示英语简介。