agent-experience
Skill1 starsChanged 13 days agoMITView on GitHub
Use when writing or changing a model-facing tool definition (name, description, parameter schema, or its system-prompt section), and when designing skills, context loading, or multi-step workflows, to make information discoverable and use context efficiently.
4 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- omidnw/my-skillstheir own version, first seen Nov 8, 2026
- zehuichan/vibe-harnessedited, first seen Oct 17, 2026
- deepseek-ai/deepseek-harnessedited, first seen Oct 13, 2026
- browserbase/agent-browsetheir own version, first seen Oct 8, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- deepseek-ai/deepseek-harness★ 276k99% same
- zehuichan/vibe-harness★ 266% same
Wrote their own version · 2
- browserbase/agent-browse★ 3.7ksame name
- omidnw/my-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository25 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .agents/notes/AGENTS.mdAGENTS.md
- .agents/notes/archived/AGENTS.mdAGENTS.md
- .agents/notes/implemented/AGENTS.mdAGENTS.md
- benchmarks/AGENTS.mdAGENTS.md
- docs/AGENTS.mdAGENTS.md
- .github/AGENTS.mdAGENTS.md
- packages/AGENTS.mdAGENTS.md
- scripts/AGENTS.mdAGENTS.md
- snapshots/AGENTS.mdAGENTS.md
- vendor/AGENTS.mdAGENTS.md
- website/AGENTS.mdAGENTS.md
- dsh-archive-agent-notesSkill
- dsh-ci-test-reliabilitySkill
- dsh-client-ui-uxSkill
- dsh-code-reviewSkill
- dsh-docSkill
- dsh-find-simplificationsSkill
- dsh-merging-stacked-prsSkill
- dsh-pre-push-checksSkill
- dsh-prose-standardSkill
- dsh-speed-up-perfSkill
- dsh-translate-docsSkill
- dsh-trim-cot-leakageSkill
- record-browser-gifSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Make discovery explicit: every deferred resource needs a clear description and a reliable way to retrieve it.
- Distinctive: line 20
Say each fact once: Do not repeat the tool definition in its system-prompt section, a parameter description in the tool description, or one …
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
- Start with minimal context: expose purpose, available actions, and constraints first; load detailed instructions when needed.
- Make discovery explicit: every deferred resource needs a clear description and a reliable way to retrieve it.
- Keep critical constraints visible: permissions, destructive effects, and required validation should appear before the relevant action.
- Prefer bounded outputs: return concise results with identifiers or paths for retrieving details; avoid dumping entire logs or documents.
- Use locality: include a bounded amount of likely needed adjacent context with an operation’s result. For example, deliver a thread reply with a few preceding messages. Mark omissions and truncation explicitly, and provide a way to retrieve more.
- Evaluate total work: saving context is useful only if it does not cause more searches, repeated reads, or mistakes.
Tool definitions
- Delete obvious constraints. Omit rules the model learns from the call result, such as a missing file failing to read or a failed send not being delivered.
- Describe behavior, not implementation. State what the tool does and returns; omit internal mechanisms, output markers the model sees in results, and enforcement details.
- Put parameter rules on the parameter. Defaults, ranges, pairing, and when-to-set rules belong in that parameter's description or schema; a description that varies with configuration usually means the varying part belongs to a parameter.
- Say each fact once. Do not repeat the tool definition in its system-prompt section, a parameter description in the tool description, or one tool's rules in another tool.
- Measure the change. Compare first-turn prompt tokens before and after a tool-definition change.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

