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Making an AI request more ambitious v1.0.0
Use this resource to frame a more ambitious AI request across altitude, depth and range
New
- 599 downloads
- 194 likes
- 215 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install ambitious-task-framingWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent diagnoses your request on three axes: altitude (the outcome behind the deliverable), depth (raw data and expert instruments) and range (other fields). It strengthens the axes with the largest gap, then writes the request. For a plain rewording, use prompt-enhancer.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- SKILL.md: diagnosis on altitude, depth and range
- references/examples.md: examples of rewritten requests
Good fit for
- Your request yields a deliverable that does not affect the decision
- You want analysis built on raw data rather than summaries
Not for
Tags
- prompt
- ambition
- expertise
- method
About
You say
“Reframe my comparison request so it aims at the purchase decision, not just the table.”
Skill published by sammcj under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to frame a more ambitious AI request across altitude, depth and range
- Review and adjust the result
Content preview
Files
- CHANGELOG.md0.6 KB
- CLAUDE.md0.5 KB
- evals/evals.json2.2 KB
- evals/triggers.json1.2 KB
- LICENSE11.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/examples.md1.7 KB
- SKILL.md3.8 KB
Origin and licence
Listed unmodified
- Author
- sammcj
- Source
- github.com/sammcj/agentic-coding/tree/3f58e2fcd85f52cc7ba7459016b8253686f20ae0/Skills/ambitious-model-use
- Licence
- Apache-2.0
Notice
« ambitious-model-use » (sammcj, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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