session-log
Skill150 starsChanged 9 days agoMITView on GitHub
Create a timestamped research-session progress log that records completed work, evidence, decisions, and next steps. Use when closing or checkpointing substantive project work that needs a durable chronology. Not for saving one reusable finding; use $store-insight.
21 other projects use a version of this.
Adopted by
Most recently taken up by
- newkirkjosh/skillstheir own version, first seen Oct 25, 2026
- AN0099/toothpaste-kittheir own version, first seen Oct 24, 2026
- sunnysxg/claude_skillstheir own version, first seen Oct 20, 2026
- tderoussel/agent-skillstheir own version, first seen Oct 20, 2026
- jacobgreenwald21/claude-skillstheir own version, first seen Oct 15, 2026
- gufranco/claude-engineering-rulestheir own version, first seen Oct 12, 2026
Used with
Projects with it also use ml-training-recipe, replication and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
getcompanion-aiSkillml-training-recipe
Find implementable ML training recipes from papers, datasets, docs, and code. Use when the user wants to fine-tune, train, reproduce, or choose a practical ML method, dataset, hyperparameter setup, or benchmark recipe.
Also in 3 projects that use this
getcompanion-aiSkillreplication
Plan a replication of a paper, claim, or benchmark, and execute only after an explicit environment choice. Use when the user asks to replicate results, reproduce an experiment, verify a claim empirically, or build a replication package.
Also in 3 projects that use this
brainbytes-devSkillalpha-research
Also in 3 projects that use this
JaimeParkerSkillpaper-code-audit
Perform three-way cross-validation of a research paper by comparing the original paper text (via Zotero), official code implementation (via Git), and personal Obsidian notes. Use this skill whenever the user wants to "audit a paper", "verify paper claims against code", "cross-check notes with implementation", "triangulate paper + code + notes", "find discrepancies between paper and code", or mentions wanting a deep, structured comparison of a paper's claims against its implementation and their own notes. Also trigger when the user asks to "analyze this paper thoroughly" with code available, or when they want to systematically reconcile what the paper says, what the code does, and what their notes claim.
Also in 3 projects that use this
JimLiuSkillpdf-explore
Use this skill when the user has attached a PDF, paper, report, or other document and the answer needs content from more than one place in it: summarize the methods or any other section, compare sections, find where a topic is discussed, read a value or label off a figure or chart, or find/list/extract every instance of something across the whole document (datasets, benchmarks, citations, figures, table rows, accession numbers — including appendices). Skip it only for a single lookup of 1–4 pages quoted in your very next response — `read_file(pages=[...])` attaches pages as images that are dropped from context after one turn, so multi-section answers end up re-reading the same ranges repeatedly. Parses the PDF once in the Python kernel: `pdf_pages` (pages as persistent text), `pdf_outline` (TOC), `pdf_scan` (rank pages by relevance), `pdf_map`/`pdf_extract` (per-page summary / structured fields via parallel haiku calls). For PDF creation/manipulation, use reportlab/pypdf directly.
Also in 3 projects that use this
KISHOR403Skillsession-search
This skill should be used when searching Claude Code session transcripts with semantic understanding. Triggers on queries like "find sessions about X", "when did I work on Y", "search previous conversations". Supports natural language queries with synonym matching.
Also in 4 projects that use this
- +1 more from getcompanion-ai
Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 21
- advaitpaliwal/feynman★ 10ksame name
- companion-inc/feynman★ 10ksame name
- getcompanion-ai/feynman★ 10ksame name
- michalparkola/tapestry-skills-for-claude-code★ 557same name
- michalparkola/tapestry-skills★ 538same name
- searlsco/prove_it★ 198same name
- Felpix-Studios/social-science-research★ 8same name
- cyberfly/agent-skills★ 3same name
- gufranco/claude-engineering-rules★ 3same name
- AN0099/toothpaste-kit★ 1same name
11 more not listed
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 repository89 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/agents.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- beamer-deckSkill
- bib-coverageSkill
- bib-filterSkill
- bib-parseSkill
- brief-compliance-checkSkill
- camera-readySkill
- causal-designSkill
- checkpointSkill
- code-archaeologySkill
- compile-knowledgeSkill
- computational-experimentsSkill
- cross-language-checkSkill
- data-analysisSkill
- devils-advocateSkill
- docs-consistencySkill
- docxSkill
- experiment-designSkill
- grill-meSkill
- handoffSkill
- ideasSkill
- init-project-courseSkill
- init-project-lightSkill
- init-project-orchestrationSkill
- init-projectSkill
- insights-deckSkill
- interview-meSkill
- knowledge-lintSkill
- latex-diffSkill
- latex-health-checkSkill
- latex-polishSkill
- latex-postersSkill
- latex-scaffoldSkill
- latexSkill
- latex-templateSkill
- lean-checkSkill
- math-proofSkill
- mcp-builderSkill
- method-auditSkill
- multi-perspectiveSkill
- numerical-checkSkill
- pdfSkill
- pipeline-manifestSkill
- playwright-cliSkill
- postmortemSkill
- pre-commit-auditSkill
- pre-submission-reportSkill
- project-deckSkill
- project-safetySkill
- proof-readabilitySkill
- proofreadSkill
- python-envSkill
- quarto-deckSkill
- reorgSkill
- replication-auditSkill
- replication-packageSkill
- retarget-journalSkill
- review-clusterSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 15 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 25
Before writing anything, inventory which projects were affected during this session.
- Very specific: line 43
Create
log/directory: if it doesn't exist - Distinctive: line 47
If there's only one project, this reduces to a single log (the common case).
- Distinctive: line 51
When multiple logs are created, add a brief cross-reference at the top of each:
- Distinctive: line 62
If multiple projects were touched, offer to update focus for each
“Common” is measured: kept by at least 6 in 10 of the 15 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 Log Skill
Automatically create timestamped progress logs for research sessions.
Purpose
Based on Scott Cunningham's session workflow: “Progress logs are my autosave of the workflow.” When sessions end or crash, the next AI client can read logs and pick up exactly where you left off.
When to Use
At the end of any significant work session, or when asked to "log this session" or "update progress".
Workflow
Step 1: Identify Projects Touched
Before writing anything, inventory which projects were affected during this session. A "project" is any directory with its own CLAUDE.md or log/ directory. Common splits:
| Scope | Where the log goes |
| Work inside a specific project | That project's log/ |
| Global infrastructure (skills, hooks, rules, settings) | Task Management's log/ |
| Course/module-level changes (reorganisation, new CLAUDE.md) | That module's log/ |
Signs of a multi-project session:
- Files changed in AI client infrastructure (skills, hooks, settings) → global/infrastructure log
- Files changed in the CWD project → project-specific log
- Files changed in a parent or sibling directory → check if that's a separate project
Step 2: Create One Log Per Project
For each project identified in Step 1:
- Read existing context — check that project's
.context/current-focus.mdand recentlog/entries - Create
log/directory if it doesn't exist - Write the log to
log/YYYY-MM-DD-HHMM.mdwithin that project - Scope the content — each log only covers what happened in that project, not the whole session
If there's only one project, this reduces to a single log (the common case).
Step 3: Cross-Reference
When multiple logs are created, add a brief cross-reference at the top of each:
> Also logged: [other project name] — `[relative or absolute path to other log]`This lets a future session in one project discover that related work happened elsewhere.
Step 4: Offer Follow-Up
- Offer to run
update-focusfor a structured update (session rotation, open loops), rather than making ad-hoc edits tocurrent-focus.md - If multiple projects were touched, offer to update focus for each
Log Template
# Session Log: [Date] [Time]
## Project: [Project Name]
## What We Did
- [Bullet points of accomplishments]
## Key Decisions
- [Any choices made and why]
## Problems/Blockers
- [Issues encountered]
## Next Steps
- [ ] [Actionable next items]
## Files Changed
- [List of modified files — only those in THIS project]Examples
Single-project session
"Please log this session — we worked on the research paper, fixed the simulation code, and decided to target Journal B instead of Journal A."
→ One log in the MCDM project's log/
Multi-project session
"Please log this session — we did Workshop 17, reorganised the module folder, and created two new global skills."
→ Three logs:
- Module project
log/— workshop completion, reorganisation, CLAUDE.md creation - Task Management
log/— new skills (init-project-course,audit-project-course), new hook (ensure-latexmkrc.sh), settings.json changes
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.

