Complete post-session workflow - finalize orphaned recordings, convert, and AI summarize. TRIGGERS - post session, analyze recording, session review, complete workflow.
From asciinema-toolsnpx claudepluginhub terrylica/cc-skills --plugin asciinema-toolsThis skill is limited to using the following tools:
references/evolution-log.mdDispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
Executes pre-written implementation plans: critically reviews, follows bite-sized steps exactly, runs verifications, tracks progress with checkpoints, uses git worktrees, stops on blockers.
Guides idea refinement into designs: explores context, asks questions one-by-one, proposes approaches, presents sections for approval, writes/review specs before coding.
Complete post-session workflow: finalize orphaned recordings → convert to text → AI-powered summarize.
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
| Argument | Description |
|---|---|
file | Path to .cast file (or auto-detect) |
--finalize | Include finalize step (stop processes, compress) |
-q, --quick | Quick analysis (keyword grep + brief summary) |
-f, --full | Full analysis (convert + AI deep-dive summarize) |
--summarize | Include AI summarize step (iterative deep-dive) |
--output | Save findings to markdown file |
-q)[file] → convert → keyword grep → brief summary
-f)[file] → convert → AI summarize (iterative deep-dive)
--finalize --full)stop processes → compress → push → convert → AI summarize
AskUserQuestion:
question: "What would you like to do?"
header: "Workflow"
options:
- label: "Quick analysis (Recommended)"
description: "Convert + keyword search + brief summary"
- label: "Full AI analysis"
description: "Convert + iterative AI deep-dive with guidance"
- label: "Complete workflow"
description: "Finalize orphans + convert + AI summarize"
- label: "Finalize only"
description: "Stop processes and push to orphan branch"
If no file specified, discover available recordings:
/usr/bin/env bash << 'DISCOVER_EOF'
echo "=== Running asciinema processes ==="
ps aux | grep -E "asciinema rec" | grep -v grep | while read -r line; do
PID=$(echo "$line" | awk '{print $2}')
CAST=$(echo "$line" | grep -oE '[^ ]+\.cast' | head -1)
if [[ -n "$CAST" ]]; then
SIZE=$(ls -lh "$CAST" 2>/dev/null | awk '{print $5}' || echo "?")
echo " [RUNNING] PID $PID: $CAST ($SIZE)"
fi
done
echo ""
echo "=== Recent .cast files ==="
find ~/eon -name "*.cast" -size +1M -mtime -7 2>/dev/null | while read -r f; do
SIZE=$(ls -lh "$f" | awk '{print $5}')
MTIME=$(stat -f "%Sm" -t "%m-%d %H:%M" "$f" 2>/dev/null)
echo " $f ($SIZE, $MTIME)"
done | head -10
echo ""
echo "=== Recent .txt files (already converted) ==="
find ~/eon -name "*.txt" -size +100M -mtime -7 2>/dev/null | while read -r f; do
SIZE=$(ls -lh "$f" | awk '{print $5}')
echo " $f ($SIZE)"
done | head -5
DISCOVER_EOF
AskUserQuestion:
question: "Which recording to analyze?"
header: "Select"
options:
# Dynamically populated from discovery
- label: "{filename} ({size})"
description: "{path}"
Chain to /asciinema-tools:finalize:
/usr/bin/env bash << 'CONVERT_EOF'
CAST_FILE="$1"
TXT_FILE="${CAST_FILE%.cast}.txt"
echo "Converting: $CAST_FILE"
echo "Output: $TXT_FILE"
if asciinema convert -f txt "$CAST_FILE" "$TXT_FILE"; then
ORIG=$(ls -lh "$CAST_FILE" | awk '{print $5}')
CONV=$(ls -lh "$TXT_FILE" | awk '{print $5}')
echo "✓ Converted: $ORIG → $CONV"
else
echo "✗ Conversion failed"
exit 1
fi
CONVERT_EOF
Quick mode: Keyword grep + brief summary
# Run curated keyword searches
grep -c -i "error\|fail\|exception" "$TXT_FILE"
grep -c -i "success\|complete\|done" "$TXT_FILE"
grep -c -i "sharpe\|drawdown\|backtest" "$TXT_FILE"
# ... summarize counts
Full mode: Chain to /asciinema-tools:summarize
AskUserQuestion:
question: "Analysis complete. What next?"
header: "Output"
options:
- label: "Display summary"
description: "Show findings in terminal"
- label: "Save to markdown"
description: "Write findings to {filename}_findings.md"
- label: "Continue exploring"
description: "Deep-dive into specific sections"
- label: "Done"
description: "Exit workflow"
# Interactive mode - auto-detect and guide
/asciinema-tools:post-session
# Quick analysis on specific file
/asciinema-tools:post-session session.cast -q
# Full AI analysis with output
/asciinema-tools:post-session session.cast -f --output findings.md
# Complete workflow including finalize
/asciinema-tools:post-session --finalize -f
/asciinema-tools:daemon-status - View status and find unhandled files/asciinema-tools:finalize - Finalize orphaned recordings/asciinema-tools:convert - Convert .cast to .txt/asciinema-tools:summarize - AI-powered deep analysis/asciinema-tools:analyze - Keyword-based analysis| Issue | Cause | Solution |
|---|---|---|
| No recordings found | No .cast files in ~/eon | Check recording directory with find ~/eon |
| File discovery empty | Wrong search path | Manually specify file path as argument |
| Convert fails | Corrupted .cast file | Run /asciinema-tools:finalize first |
| AI summarize timeout | Recording too large | Use -q for quick analysis first |
| Orphan branch push fails | Git authentication issue | Check GitHub token with echo $GH_TOKEN |
After this skill completes, reflect before closing the task:
Do NOT defer. The next invocation inherits whatever you leave behind.