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robonuggets/be-ambitious

A Claude skill that makes your agent more ambitious: Felix Rieseberg's altitude, depth and range, as steps.

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Individual skills in this repository

How it works

be-ambitious

When your agent uses it

Makes a task or prompt more ambitious using Felix Rieseberg's types of ambition, Altitude (aim at the outcome, the goal beyond the goal), Depth (work like the best expert in the field, from the raw data, checked by an outside judge) and Range (bring in other fields and do what their experts do). Writes the ambitious plan and a rewritten prompt, then does the work when it was handed a task. Use when the user types /be-ambitious, says "be more ambitious", "aim higher", "go deeper on this", "what's the goal beyond the goal", "what would a top expert do here", "raise the bar", or asks to make a prompt more ambitious.

What it loads into context

Frontmatter

198 tokens

Always available to the agent

SKILL.md

2,486 tokens

When the skill is activated

Reference documents

1,508 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. The rules that matter most
  2. Input
  3. Pick the types that fit
  4. Output
  5. A short example
  6. Why this works

Files

  • .gitignoreasset28 bytes
  • LICENSEasset1,068 bytes
  • README.mddoc6,078 bytes
  • SKILL.mdcore10,809 bytes
  • assets/banner.pngasset128,795 bytes
Read SKILL.md

# Be ambitious

Every idea here comes from Felix Rieseberg's article [How to be more ambitious: a tutorial for humans with models](https://felixrieseberg.com/how-to-be-more-ambitious-a-tutorial-for-humans-with-models/) (13 Oct 2026). Felix works on Claude at Anthropic. This skill turns his article into steps an agent can follow.

Most people use a model at the size of the task they typed. Model skills grow unevenly, "astounding in some directions, while inadequate in others" (Terence Tao), so the only way to find the astounding parts is to aim higher than feels reasonable.

## The rules that matter most

1. **Better, not bigger.** Each type raises something: the outcome (Altitude), the standard (Depth) or the set of perspectives (Range). None of them means more deliverables, features or side quests. If a suggestion makes the job larger without making it better, drop it.
2. **Do what the expert does, not how they talk.** When you bring in a field, use its methods and instruments. Switching vocabulary without switching methods is role play: the transcript gets weirder and the result stays the same.
3. **An outside judge decides if it worked.** Never grade your own work. Find something other than you or the user that shows the result is right: a test, a benchmark, a reproduction, held-out data, a measurement. Best of all is a tool you can run to get feedback at once.
4. **Treat the hard target as reasonable.** If a goal looks impossible, assume it's solvable and keep going. Specific hard goals beat "do your best" (Locke and Latham's review of 35 years of goal-setting research, which Felix cites). Report honestly against the judge: a missed hard target with real numbers is a good result. A faked one is not.
5. **Get the access, don't fake it.** All of this needs a computer you can install software on and access to the real data, through MCP connectors (plug-ins that link an agent to other apps) or other means. If either is missing, name exactly what's missing and what it would unlock. Never invent a source, tool or result to fill the gap.
View the complete source on GitHub

Skills included

  • be-ambitious

Repository facts

License
MIT
Created
Oct 17, 2026
Last pushed
Oct 17, 2026
Forks
30
Open issues
0
Project activity
Active

Before you install

Instructions only

Automated signals, not a guarantee

Checked Nov 5, 2026

  • No broad tool permissions
  • No dangerous shell commands
  • 10 network referencesin 2 files: README.md:9 SKILL.md:5
  • No hidden or obfuscated text
  • No instruction overrides
  • No executable scripts
  • No access to secrets
  • No requests to vote in Hot
Show all 10 signals by file

README.md

  • Network accessline 9
    It turns Felix Rieseberg's article [How to be more ambitious: a tutorial for humans with models](https://felixrieseberg.com/how-to-be-more-ambitious-a-tutorial-for-humans-with-models/) into steps an agent follows. Felix works on Claude at A
  • Network accessline 41
    git clone https://github.com/robonuggets/be-ambitious ~/.claude/skills/be-ambitious
  • Network accessline 47
    git clone https://github.com/robonuggets/be-ambitious .claude/skills/be-ambitious
  • Network accessline 105
    - **Felix Rieseberg** for the article this skill is built on: [How to be more ambitious: a tutorial for humans with models](https://felixrieseberg.com/how-to-be-more-ambitious-a-tutorial-for-humans-with-models/) (13 Oct 2026). The types, th
  • Network accessline 106
    - **DannyMac180** for the earlier, prompt-only version: [DannyMac180/skills](https://github.com/DannyMac180/skills/tree/main/be-ambitious). It wraps Felix's "deeper, not bigger" prompt. This version adds Altitude and Range.
  • Network accessline 113
    Made by [RoboNuggets](https://www.skool.com/robonuggets)

SKILL.md

  • Network accessline 5
    metadata:   author: RoboNuggets   source: https://felixrieseberg.com/how-to-be-more-ambitious-a-tutorial-for-humans-with-models/
  • Network accessline 6
    author: RoboNuggets   source: https://felixrieseberg.com/how-to-be-more-ambitious-a-tutorial-for-humans-with-models/ ---
  • Network accessline 7
    source: https://felixrieseberg.com/how-to-be-more-ambitious-a-tutorial-for-humans-with-models/
  • Network accessline 12
    Every idea here comes from Felix Rieseberg's article [How to be more ambitious: a tutorial for humans with models](https://felixrieseberg.com/how-to-be-more-ambitious-a-tutorial-for-humans-with-models/) (13 Oct 2026). Felix works on Claude 

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Signal confidence: 10 facts
  • Network access in prose of documentationREADME.md:9Low confidence
  • Network access in code of documentationREADME.md:41Low confidence
  • Network access in code of documentationREADME.md:47Low confidence
  • Network access in prose of documentationREADME.md:105Low confidence
  • Network access in prose of documentationREADME.md:106Low confidence
  • Network access in prose of documentationREADME.md:113Low confidence
  • Network access in the frontmatter of the SKILL.mdSKILL.md:5Low confidence
  • Network access in the frontmatter of the SKILL.mdSKILL.md:6Low confidence
  • Network access in the frontmatter of the SKILL.mdSKILL.md:7Low confidence
  • Network access in prose of the SKILL.mdSKILL.md:12Low confidence

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.