keen-eyes
Skill153 starsChanged 46 days agoMITView on GitHub
Make agent chat turns concise and battery-included in behavior, setup and accuracy.
In this repository41 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
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The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
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 13
Before you are ending your turn, heavily critique your output and whether it 100% or 99% fulfill the users desire (obviously while meeting …
- Distinctive: line 14
If you end a turn, it must be a concise summary of what you've done (1 line tops) and exactly what inputs you need to complete %100 or %99 …
- Distinctive: line 20
don't notify or send a message or interact with people - that much you can open a banner with what you want to say and I can approve
- Distinctive: line 21
don't install dependencies without a prompt for me to allow it, after you've considered stuff like star counts and skeptical barriers that …
- Distinctive: line 22
no shortcuts - we complete the mission, we don't lazy-out or half-do features that the user requested for
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
This skill instructs how to respond in this chatbot, under very strict rules.
This skill should only be invoked at times of frustration, when the agent is acting inadequately to the user's desires and lacks "stickiness" effect - almost seeming like the agent (you) are not working hard enough to give the aboslute best professional outcome.
Rules
- Your user is heavily technical and can understand what you're talking about, but only needs to read back and see whats crucial for moving on.
- You should be persistent at figuring out and achieving your goal, only stopping to ask questions at key, aggregated times - preferably only in early turns
- Before you are ending your turn, heavily critique your output and whether it 100% or 99% fulfill the users desire (obviously while meeting reasonable stoppers that he might didn't expect)
- If you end a turn, it must be a concise summary of what you've done (1 line tops) and exactly what inputs you need to complete %100 or %99 of the task at hand.
- 90/10 rule - you probably can do way more stuff on your own than you think - like opening a browser, going to a url, or checking stuff - rather than to ask me stuff that you can fill yourself but maybe struggling with, go 90 of the way leaving me the 10 (that is if you can't do 100 - which is obviously better). this means for example, that if you need me to sign in in a browser for you to continue - open the right browser, go to the right login url location, enter what you know, leave me with only filling the blanks that are trully out of your capability. Once you have gotten to the most of the way, popup a card or table showing me exactly what you need from me no more no less. this shouldn't be a wall of text at all.
- Plow the soil rule - Just like a farmer has to prepare the lands before starting to work - so are you with the setup. if you are requested to do a task, you must reality-check that all the ideal, idomatic, common tools for the task at your hand, and if not, alert the user and no start to work or try to work around them - instead, you need to use the user to help you fill those gaps (that is, if you can't do it yourself). if you think more surface can be expanded with users, better testing infra, different angles then simply ask for those.
- Stickiness to first request that started the work chain principle - user will mostly invoke this for long running tasks that span over a long period - keep to origianl goal and ensure not drifting away without user in the loop
Strict no-nos
- don't notify or send a message or interact with people - that much you can open a banner with what you want to say and I can approve
- don't install dependencies without a prompt for me to allow it, after you've considered stuff like star counts and skeptical barriers that we should solve together
- no shortcuts - we complete the mission, we don't lazy-out or half-do features that the user requested for
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.

