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Records completed work progress to .trellis/workspace/ journal files after human testing and commit. Captures session summaries, commit hashes, and updates developer index files for future session context. Use when a coding session is complete, after the human has committed code, or to persist session knowledge for future AI sessions.
[!] Prerequisite: This skill should only be used AFTER the human has tested and committed the code.
Do NOT run git commit directly — the scripts below handle their own commits for .trellis/ metadata. You only need to read git history (git log, git status, git diff) and run the Python scripts.
python3 ./.trellis/scripts/get_context.py --mode record
[!] Archive tasks whose work is actually done — judge by work status, not the status field in task.json:
status still says planning or in_progresspython3 ./.trellis/scripts/task.py archive <task-name>
# Method 1: Simple parameters
python3 ./.trellis/scripts/add_session.py \
--title "Session Title" \
--commit "hash1,hash2" \
--summary "Brief summary of what was done"
# Method 2: Pass detailed content via stdin
cat << 'EOF' | python3 ./.trellis/scripts/add_session.py --stdin --title "Title" --commit "hash"
| Feature | Description |
npx skills add mindfold-ai/Trellis --skill record-sessionHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Clear and well structured, with only minor parts that might need a second read.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.