How do I install the Analyze skill?

Run npx skillmds add terrylica/analyze in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Analyze safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Analyze?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Analyze free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Analyze?

terrylica (@terrylica) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Analyze by terrylica — Agent Skill

Name: Analyze
Rating: 4.666666666666667 (3 reviews)
Author: terrylica

File contents

/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

Preflight: Check for .txt file
Discovery: Find .txt files
Selection: AskUserQuestion for file
Type: AskUserQuestion for analysis type
Domain: AskUserQuestion for domains (multi-select)
Curated: Run ripgrep searches
Auto: Run YAKE if selected
Density: Calculate density windows if selected
Format: AskUserQuestion for report format
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:

Did the command succeed? — If not, fix the instruction or error table that caused the failure.
Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
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.

---name: analyzedescription: Semantic analysis of converted recordings. TRIGGERS - analyze cast, keyword extraction, find patterns.--- # /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 ```bash # 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.

Frequently asked questions