بنقرة واحدة
cavecrew
Token 压缩省钱 Skill:节省 65% API 费用,53.6K Stars,日均 +1800 Stars
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Token 压缩省钱 Skill:节省 65% API 费用,53.6K Stars,日均 +1800 Stars
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Implements Figma designs to exact 1:1 fidelity by decomposing them into sub-components and building bottom-up with self-correcting validation loops. This skill should be used when implementing UI from Figma files, when a Figma URL is provided, or when the user mentions "implement design", "figma to code", "build from figma", "convert figma", "break down this design", "implement page", "implement component", "generate code", "build Figma design", or "pixel perfect". Works for both full pages and single components. Requires Figma MCP server connection. Do not use for non-Figma design tasks or when the user only wants a screenshot or metadata without implementation.
MCP bundle package
MCP bundle package
AI 研究全流程 Skill:实验设计/数据处理/模型训练/论文写作,1.6K Stars
精选 Claude Code 技能/Hook/命令清单:22K Stars,一站式资源导航
查找 Skill/Agent/命令的一站式枢纽:2.3K Stars,生态导航
| id | skill-caveman |
| name | Caveman |
| version | 1.0.0 |
| description | Token 压缩省钱 Skill:节省 65% API 费用,53.6K Stars,日均 +1800 Stars |
| category | prompt |
| tags | ["token","compression","cost","optimization"] |
| author | JuliusBrussee |
| repositoryUrl | https://github.com/JuliusBrussee/caveman |
| parameters | {"transport":"bundle","configTemplate":"{\"name\": \"Caveman\", \"transport\": \"bundle\", \"type\": \"skill\"}"} |
cavecrew-investigator (locate code), cavecrew-builder
(1-2 file edit), or cavecrew-reviewer (diff review) instead of doing the
work inline or using vanilla Explore. Subagent output is caveman-compressed
so the tool-result injected back into main context is ~60% smaller — main
context lasts longer across long sessions.
Trigger: "delegate to subagent", "use cavecrew", "spawn investigator/builder/reviewer",
"save context", "compressed agent output".Cavecrew = three subagent presets that emit caveman output. Same job as Anthropic defaults (Explore, edit-style agents, reviewer); difference is the tool-result they return is compressed, so main context shrinks per delegation.
| Task | Use |
|---|---|
| "Where is X defined / what calls Y / list uses of Z" | cavecrew-investigator |
| Same but you also want suggestions/architecture commentary | Explore (vanilla) |
| Surgical edit, ≤2 files, scope obvious | cavecrew-builder |
| New feature / 3+ files / cross-cutting refactor | Main thread or feature-dev:code-architect |
| Review diff, branch, or file for bugs | cavecrew-reviewer |
| Deep code review with rationale + alternatives | Code Reviewer (vanilla) |
| One-line answer you already know | Main thread, no subagent |
Rule of thumb: if you'd want the subagent's output in 1/3 the tokens, pick cavecrew. If you'd want prose, pick vanilla.
Subagent tool results get injected into main context verbatim. A vanilla Explore that returns 2k tokens of prose costs 2k tokens of main-context budget every time. The same finding from cavecrew-investigator returns ~700 tokens. Across 20 delegations in one session that's the difference between context exhaustion and finishing the task.
What main thread can rely on per agent:
cavecrew-investigator
<Header>:
- path:line — `symbol` — short note
totals: <counts>.
Or No match. Always file-path-first, line-number-attached, backticked symbols. Safe to grep with path:\d+.
cavecrew-builder
<path:line-range> — <change ≤10 words>.
verified: <re-read OK | mismatch @ path:line>.
Or one of: too-big. / needs-confirm. / ambiguous. / regressed. (terminal first token).
cavecrew-reviewer
path:line: <emoji> <severity>: <problem>. <fix>.
totals: N🔴 N🟡 N🔵 N❓
Or No issues. Findings sorted file → line ascending.
Locate → fix → verify (most common):
cavecrew-investigator returns site list.cavecrew-builder.cavecrew-reviewer audits the diff.Parallel scout (when investigation is broad):
Spawn 2-3 cavecrew-investigator calls in one message (different angles: defs vs callers vs tests). Aggregate in main thread.
Single-shot edit (when site is already known):
Skip investigator. Hand exact path:line to cavecrew-builder directly.
cavecrew-builder when you don't already know the file. Spawn investigator first or main thread will eat tokens passing context.cavecrew-investigator → cavecrew-builder for a 5-file refactor. Builder will return too-big. and you'll have wasted a turn.cavecrew-reviewer for "general feedback" — it returns findings only, no architecture opinions. Use Code Reviewer for that.Subagents drop caveman → normal English for security warnings, irreversible-action confirmations, and any output where fragment ambiguity could be misread. Resume caveman after.