grounded-recommendation
Structured process for technical recommendations and implementation advice.
Skill by ohnotnow
Install
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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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
- None asked for
- Install scripts
- None found
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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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- 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
- Repository
- github.com/ohnotnow/agentic-stuff
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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audience-credibility
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Defensive credibility check for deliverables (reports, dashboards, demos, presentations, web pages, marketing copy) aimed at a real human audience —…
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ait-recap
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Generate a friendly markdown recap of recent `ait` activity for the current project, or scan a directory of projects.
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Cite this page
grounded-recommendation skill. Agent Mart. https://agentmart.dev/skills/ohnotnow-grounded-recommendation (last updated 2026-10-24)