promptify
2
总安装量
1
周安装量
#74169
全站排名
安装命令
npx skills add https://github.com/tolibear/promptify-skill --skill promptify
Agent 安装分布
amp
1
openclaw
1
opencode
1
kimi-cli
1
codex
1
github-copilot
1
Skill 文档
Prompt Optimizer
Transform prompts into clear, effective ones. Model-agnostic.
Modifiers (parse from ARGUMENTS)
- +ask â Force clarifying questions
- +deep â Force codebase exploration
- +web â Force web search
No modifiers? Auto-detect what’s needed.
Auto-Detection Triggers
| Trigger | Signals |
|---|---|
| codebase-researcher | “this project”, “our API”, specific files/functions, “integrate”, “extend”, “refactor” |
| clarifier | Ambiguous (“make it better”), multiple interpretations, missing constraints, vague pronouns |
| web-researcher | “best practices”, “latest”, external APIs/libraries, framework patterns, year references |
Agent Dispatch
When agents needed:
- Announce which and why
- Run in parallel via Task tool (agents/ directory)
- Synthesize findings
- Optimize with gathered context
Core Contract (every prompt needs all four)
| Element | If Missing |
|---|---|
| Role | Add persona with expertise |
| Task | Make action specific |
| Constraints | Infer from context |
| Output | Specify format/structure |
Process
- If image: Analyze, incorporate context
- Detect type: coding/writing/analysis/creative/data
- Convert outputâprocess: “Write X” â “Analyze â Plan â Implement â Validate”
- Strip fluff: “please”, “I want you to”, filler, apologies
- Apply contract: Verify all 4 elements
- Add structure: XML tags for complex prompts
Type Focus
- Coding: Specs, edge cases, framework
- Writing: Tone, audience, length
- Analysis: Criteria, depth
- Creative: Constraints, novelty
- Data: I/O format, edge cases
Output
- Optimized prompt in code block
echo 'PROMPT' | pbcopy- 2-3 sentence explanation