tolibear

Promptify Skill

AI Agentv3.1.0
By tolibearUpdated 2026-05-172 versions · latest released 2026-01-29promptify@clawhub_tolibear/promptify
Prompt Optimization#Web Search#Prompt

According to AlphaMoat, as of 2026-09, Promptify Skill has 4,908 downloads and 9 stars — ranked #1,892 of 5,078 AI skills overall, and #353 of 969 in AI Agent.

Installs
152
Downloads
4.9K
Stars
9
Overall Rank
#1,892
Top 38% overall · Top 37% in AI Agent
PlatformInstallsDownloadsStarsComments
ClawHub ↗1524.5K6-
SkillHub ↗1504.9K9—

Platforms count differently and update at different times.

What this skill does

Optimize prompts for clarity and effectiveness. Use when user says "improve this prompt", "optimize my prompt", "make this clearer", or provides vague/unstructured prompts. Intelligently routes to sub-agents for codebase research, clarifying questions, or web search as needed.

Monthly Trend

Downloads4.9K
3.7K4.4K5.0K2026-05 · Downloads 3.8K2026-06 · Downloads 4.0K2026-07 · Downloads 4.2K2026-08 · Downloads 4.4K2026-09 · Downloads 4.9K26-0526-09
Stars9
6892026-05 · Stars 72026-06 · Stars 62026-07 · Stars 92026-08 · Stars 92026-09 · Stars 926-0526-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-094.9K—9
2026-084.4K+3.3%9
2026-074.2K+6.1%9
2026-064.0K+4.5%6
2026-053.8K—7

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.1 KB · ClawHub v3.1.0
---
name: promptify
description: Optimize prompts for clarity and effectiveness. Use when user says "improve this prompt", "optimize my prompt", "make this clearer", or provides vague/unstructured prompts. Intelligently routes to sub-agents for codebase research, clarifying questions, or web search as needed.
metadata: {"moltbot":{"emoji":"✨"}}
---

# Prompt Optimizer

Transform prompts into clear, effective ones. Model-agnostic.
Show all (68 lines)
## Modifiers (parse from ARGUMENTS)

- **+ask** → Force clarifying questions
- **+deep** → Force codebase exploration
- **+web** → 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:
1. Announce which and why
2. Run in parallel via Task tool (agents/ directory)
3. Synthesize findings
4. 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

1. **If image**: Analyze, incorporate context
2. **Detect type**: coding/writing/analysis/creative/data
3. **Convert output→process**: "Write X" → "Analyze → Plan → Implement → Validate"
4. **Strip fluff**: "please", "I want you to", filler, apologies
5. **Apply contract**: Verify all 4 elements
6. **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

1. Optimized prompt in code block
2. `echo 'PROMPT' | pbcopy`
3. 2-3 sentence explanation

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.