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grounded-recommendation

Structured process for technical recommendations and implementation advice.

Skill by ohnotnow

IndexedMIT★ 1
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/ohnotnow-grounded-recommendation

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Structured process for technical recommendations and implementation advice. Use when the user asks for a recommendation, opinion, or approach ('what do you recommend', 'how should we', 'which option', 'what's your thinking'), or when you catch yourself about to volunteer an opinion on which option is best — especially with trade-offs or multiple valid approaches.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/grounded-recommendation

What's inside

Skill name
grounded-recommendation
Description
Structured process for technical recommendations and implementation advice. Use when the user asks for a recommendation, opinion, or approach ('what do you recommend', 'how should we', 'which option', 'what's your thinking'), or when you catch yourself about to volunteer an opinion on which option is best — especially with trade-offs or multiple valid approaches.
License
MIT
Instructions
36 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Grounded Recommendation

## Process

Follow these steps in order. Do not skip to a recommendation.

### 1. Gather before you speak

Read all relevant code, config files, and scripts. Trace the actual execution flow end-to-end for each affected user scenario. Do not form or state an opinion until this is done.

If you do not have enough information to make a recommendation, say so and ask for what you need.

### 2. Present findings first, recommendation second

Show the user what you found — the actual code paths, the actual behaviour, the actual constraints. Then, separately, give your recommendation with reasoning tied to those findings.

Format:
- **Findings**: what the code does, how the flows work, what the constraints are
- **Recommendation**: what to do and why, grounded in the findings above
- **Uncertainty**: anything you are not sure about or have not verified

### 3. When challenged, interrogate — do not capitulate

If the user pushes back or asks a probing question:
- Ask "what's the hole in my reasoning?" or "what am I missing?"
- Do NOT immediately reverse your position
- If the user reveals something you missed, acknowledge it, update your analysis, and revise — but only the parts that are actually affected
- Changing your mind is fine when there is new information. Flipping because you feel social pressure is not.

### 4. Flag uncertainty explicitly

If you are unsure, say so plainly. "I think X but I haven't verified Y" is always better than false confidence followed by a reversal.

Never say "I'm 100% sure" or "I won't change my mind" — these are red flags that you are compensating for uncertainty with bluster.

From ohnotnow/agentic-stuff, MIT.

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Last commit (this folder)
May 24, 2026 (5 months ago)
Last release
Oct 19, 2026 (9 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

grounded-recommendation skill. Agent Mart. https://agentmart.dev/skills/ohnotnow-grounded-recommendation (last updated 2026-10-24)