菜单
Compresses prompts/skills into minimal goal-focused instructions. Trusts the model, drops what it already knows, maximizes action space. Use when asked to compress, condense, or minimize a prompt.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
End-to-end autonomous execution: figure-out → define → do, chained without manual approval gates. Use when you want to define and execute without intervention during planning. Triggers: auto, autonomous, end-to-end, just build it, tend pr, babysit pr.
Manifest builder. Turns shared understanding into a verifiable Manifest with Deliverables, Acceptance Criteria, Global Invariants, and Approach. Use when planning features, scoping refactors, debugging complex issues, or whenever a task needs structured thinking before coding. Triggers: define, manifest, scope, plan, spec out, break down.
Manifest executor. Works through Deliverables verifying every Acceptance Criterion and Global Invariant. Use when executing a manifest, running a plan, implementing a defined task. Triggers: do, execute, run the manifest, implement plan, run plan, execute manifest, ship the manifest.
Completion marker for the /do workflow. Outputs a plain-prose summary of what was built. Called by /do after every Acceptance Criterion and Global Invariant verifies PASS, not directly. Triggers: completion summary, manifest complete, all criteria pass, finish manifest, summarize completion, wrap up, mark done.
Structured escalation when /do hits an unrecoverable blocker. Surfaces what was tried, why it failed, and what the user can decide. Called by /do, not directly. Triggers: blocked, can't proceed, unrecoverable failure, need user decision, blocker, hit a wall, escalate, stuck.
Figure things out together — any topic, problem, or idea. Presses relentlessly until shared understanding is reached. Use when you need to understand something before acting, or when figuring it out IS the goal. Triggers: figure out, help me think through, dig deeper, press this, what is really going on, investigate, work through, why does.
| name | compress-prompt |
| description | Compresses prompts/skills into minimal goal-focused instructions. Trusts the model, drops what it already knows, maximizes action space. Use when asked to compress, condense, or minimize a prompt. |
Transform a prompt into the minimal instruction needed for the model to succeed. Not "preserve everything densely"—instead, "what's the least I need to say?"
Output: Display compressed result + stats. Optionally write to file with --output <path>.
$ARGUMENTS = prompt (file path or inline text) [--output path]
If file path: read content. If inline: use directly. If ambiguous: try as file first.
Trust capability, enforce discipline - Models know HOW to do tasks. But they cut corners, forget context, skip verification, declare victory early. Drop capability instructions, keep discipline guardrails.
Goal over process - State WHAT to achieve, not HOW. Let the model choose its approach.
Training filter - "Would a competent person need to be told this?" If no → drop it. Models are trained on millions of examples.
Maximize action space - Fewer constraints = more freedom = better results. Each constraint should earn its place.
Inline-typable brevity - Short enough you could type it verbally to a capable colleague.
Avoid arbitrary values - "Max 4 rounds" or "2-3 examples" become rigid rules. State the principle, not the number. Constrain productively while giving flexibility.
| KEEP | DROP |
|---|---|
| Core goal/purpose | Process/phases (capability) |
| Acceptance criteria (success conditions) | Examples the model knows |
| Novel constraints (counter-intuitive rules) | Obvious constraints (model defaults) |
| Execution discipline (write before proceeding, verify before finalizing) | Edge case handling (model trained on these) |
| Output format if non-standard | Explanations and rationale |
Execution discipline examples (KEEP these):
Training-redundant examples (DROP these):
Create todo list - Track: input validation, compression, verification iterations, output.
Verify with agent - Launch prompt-compression-verifier to check goal clarity, novel constraints preserved, no over-specification. Iterate until verification passes.
Single paragraph output - The compressed prompt must be one dense paragraph, not reformatted sections or bullets.
Non-destructive - Original file untouched. Display output + optional file save.
Compressed: {source}
Original: {tokens} tokens
Compressed: {tokens} tokens ({percentage}% reduction)
---
{compressed paragraph}
---
Verification: PASSED/INCOMPLETE ({iterations} iteration(s))
Before (1,247 tokens): Full code reviewer prompt with phases, edge cases, examples...
After (67 tokens):
Review code for bugs, security issues, performance problems; success = all critical issues identified with actionable fixes. Output JSON {file, line, issue, severity, fix}. Never approve code with critical issues.
Kept: Goal, acceptance criteria, output format, novel constraint (never approve with critical issues). Dropped: Process phases, edge case handling, examples, obvious constraints.