AgentStack
SKILL verified MIT Self-run

Analyze

skill-terrylica-cc-skills-analyze · by terrylica

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

No reviews yet
0 installs
11 views
0.0% view→install

Install

$ agentstack add skill-terrylica-cc-skills-analyze

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Analyze? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

/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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.