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AI/MLterrylica

analyze

Semantic analysis of converted recordings. TRIGGERS - analyze cast, keyword extraction, find patterns.

Stars
49
Source
terrylica/cc-skills
Updated
2026-05-30
Slug
terrylica--cc-skills--analyze
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/terrylica/cc-skills/HEAD/plugins/asciinema-tools/skills/analyze/SKILL.md -o .claude/skills/analyze.md

Drops the SKILL.md into .claude/skills/analyze.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

/asciinema-tools:analyze

Run semantic analysis on converted .txt recordings.

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.

Arguments

Argument Description
file Path to .txt file
-d, --domains Domains: trading,ml,dev,claude
-t, --type Type: curated, auto, full, density
--json Output in JSON format
--md Save as markdown report
--density Include density analysis
--jump Jump to peak section after analysis

Execution

Invoke the asciinema-analyzer skill with user-selected options.

Skip Logic

  • If file provided -> skip Phase 1 (file selection)
  • If -t provided -> skip Phase 2 (analysis type)
  • If -d provided -> skip Phase 3 (domain selection)
  • If --json/--md provided -> skip Phase 6 (report format)
  • If --jump provided -> auto-execute jump after analysis

Workflow

  1. Preflight: Check for .txt file
  2. Discovery: Find .txt files
  3. Selection: AskUserQuestion for file
  4. Type: AskUserQuestion for analysis type
  5. Domain: AskUserQuestion for domains (multi-select)
  6. Curated: Run ripgrep searches
  7. Auto: Run YAKE if selected
  8. Density: Calculate density windows if selected
  9. Format: AskUserQuestion for report format
  10. Next: AskUserQuestion for follow-up action

Examples

# Quick curated analysis for trading domain
/asciinema-tools:analyze session.txt -d trading -t curated

# Full analysis with density and JSON output
/asciinema-tools:analyze session.txt -t full --density --json

# Auto keyword discovery with markdown report
/asciinema-tools:analyze session.txt -t auto --md

Troubleshooting

Issue Cause Solution
ripgrep not found Not installed brew install ripgrep
YAKE not available Python package missing uv pip install yake
No keywords found Wrong domain or sparse content Try -t auto for discovery

Post-Execution Reflection

After this skill completes, check before closing:

  1. Did the command succeed? — If not, fix the instruction or error table that caused the failure.
  2. Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
  3. Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.