session-summary
Skill0 starsChanged 5 months agoMITView on GitHub
Summarizes what was done in the current conversation session in 2-4 sentences, in Portuguese (PT-PT). Use this skill whenever the user types /session-summary, "resume a sessão", "o que fizemos", "resume o que foi feito", or asks for a summary of the current session's work.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- tatsoft-llc/Claude-Code-Skillstheir own version, first seen Oct 21, 2026
- microsoft/aibast-agents-librarytheir own version, first seen Oct 13, 2026
- ProjAnvil/MindForgetheir own version, first seen Oct 9, 2026
- lldwb/lldwb-claude-skillstheir own version, first seen Sep 28, 2026
- felvieira/claude-skills-fvtheir own version, first seen Sep 2, 2026
- System-Error-Worldwide/the-looptheir own version, first seen Aug 17, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- felvieira/claude-skills-fv★ 27same name
- microsoft/aibast-agents-library★ 8same name
- ProjAnvil/MindForge★ 3same name
- tatsoft-llc/Claude-Code-Skills★ 2same name
- EasyJoy-Technologies/openclaw-skills★ 1same name
- lldwb/lldwb-claude-skills★ 1same name
- ryusuke-ai/argus★ 1same name
- sss-hust/skills★ 1same name
- Cal-Starfur/claude-skills★ 0same name
- System-Error-Worldwide/the-loop★ 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 repository12 other files it gives its agents.
- carouselSkill
- classifier-dashboardSkill
- cleanupSkill
- decisionsSkill
- handoffSkill
- obsidian-launcherSkill
- one-pagerSkill
- proofSkill
- transcribeSkill
- usage-trackerSkill
- video-analysisSkill
- web-image-optimizerSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
3
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 8
Read the conversation history up to this point and write a concise summary of what was accomplished.
- Distinctive: line 14
No bullet points, no headers, no lists — plain paragraph
- Distinctive: line 18
If nothing concrete was done yet, say so in one sentence
“Common” is measured: kept by at least 6 in 10 of the 6 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
Session Summary
Read the conversation history up to this point and write a concise summary of what was accomplished.
Rules
- 2 to 4 sentences maximum — no more
- Portuguese (PT-PT) only
- No bullet points, no headers, no lists — plain paragraph
- Factual and direct: what was done, not what was discussed or planned
- Focus on concrete outcomes (files created, bugs fixed, features built, tasks completed)
- Skip meta-conversation (questions asked, options considered) unless nothing concrete was done
- If nothing concrete was done yet, say so in one sentence
Output
Just the paragraph. No preamble like "Aqui está o resumo:" — go straight to the summary.
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.