asciinema-analyzer

# asciinema-analyzer

Semantic analysis of converted .txt recordings for Claude Code consumption. Uses tiered analysis: ripgrep (primary, 50-200ms) -> YAKE (secondary, 1-5s) -> TF-IDF (optional).

> **Platform**: macOS, Linux (requires ripgrep, optional YAKE)

## When to Use This Skill

Use this skill when:

- Searching for keywords or patterns in converted recordings
- Extracting topics or themes from session transcripts
- Finding specific commands or errors in session history
- Auto-discovering unexpected terms in recordings
- Analyzing session content for documentation or review

---

## Analysis Tiers

| Tier | Tool    | Speed (4MB) | When to Use                    |
| ---- | ------- | ----------- | ------------------------------ |
| 1    | ripgrep | 50-200ms    | Always start here (curated)    |
| 2    | YAKE    | 1-5s        | Auto-discover unexpected terms |
| 3    | TF-IDF  | 5-30s       | Topic modeling (optional)      |

**Decision**: Start with Tier 1 (ripgrep + curated keywords). Only use Tier 2 (YAKE) when auto-discovery is explicitly requested.

---

## Requirements

| Component   | Required | Installation           | Notes                   |
| ----------- | -------- | ---------------------- | ----------------------- |
| **ripgrep** | Yes      | `brew install ripgrep` | Primary search tool     |
| **YAKE**    | Optional | `uv run --with yake`   | For auto-discovery tier |

---

## Workflow Phases (ALL MANDATORY)

**IMPORTANT**: All phases are MANDATORY. Do NOT skip any phase. AskUserQuestion MUST be used at each decision point.

### Phase 0: Preflight Check

**Purpose**: Verify input file exists and check for .txt (converted) format.

```bash
/usr/bin/env bash << 'PREFLIGHT_EOF'
INPUT_FILE="${1:-}"

if [[ -z "$INPUT_FILE" ]]; then
  echo "NO_FILE_PROVIDED"
elif [[ ! -f "$INPUT_FILE" ]]; then
  echo "FILE_NOT_FOUND: $INPUT_FILE"
elif [[ "$INPUT_FILE" == *.cast ]]; then
  echo "WRONG_FORMAT: Convert to .txt first with /asciinema-tools:convert"
elif [[ "