smithery/parcadei

braintrust-analyze

Analyze Claude Code sessions via Braintrust

Installation

$ npx skills add smithery/parcadei --skill braintrust-analyze

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,728 B
  • docs SUMMARY.md 69 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Braintrust Analysis

Analyze your Claude Code sessions for patterns, issues, and insights using Braintrust tracing data.

When to Use

  • After completing a complex task (retrospective)
  • When debugging why something failed
  • Weekly review of productivity patterns
  • Finding opportunities to create new skills
  • Understanding token usage trends

Commands

Run from the project directory:

# Analyze last session - summary with tool/agent/skill breakdown
uv run python -m runtime.harness scripts/braintrust_analyze.py --last-session

# List recent sessions
uv run python -m runtime.harness scripts/braintrust_analyze.py --sessions 5

# Agent usage statistics (last 7 days)
uv run python -m runtime.harness scripts/braintrust_analyze.py --agent-stats

# Skill usage statistics (last 7 days)
uv run python -m runtime.harness scripts/braintrust_analyze.py --skill-stats

# Detect loops - find repeated tool patterns (>5 same tool calls)
uv run python -m runtime.harness scripts/braintrust_analyze.py --detect-loops

# Replay specific session - show full sequence of actions
uv run python -m runtime.harness scripts/braintrust_analyze.py --replay <session-id>

# Weekly summary - daily activity breakdown
uv run python -m runtime.harness scripts/braintrust_analyze.py --weekly-summary

# Token trends - usage over time
uv run python -m runtime.harness scripts/braintrust_analyze.py --token-trends

Options

  • --project NAME - Braintrust project name (default: agentica)

What You'll Learn

Session Analysis

  • Tool usage breakdown
  • Agent spawns (plan-agent, debug-agent, etc.)
  • Skill activations (/commit, /research, etc.)
  • Token consumption estimates

Loop Detection

Find sessions where the same tool was called repeatedly, which may indicate:

  • Stuck in a search loop
  • Inefficient approach
  • Opportunity for better tooling

Usage Patterns

  • Which agents you use most
  • Which skills get activated
  • Daily/weekly activity trends

Examples

Quick Retrospective

# What happened in my last session?
uv run python -m runtime.harness scripts/braintrust_analyze.py --last-session

Output:

## Session Analysis
**ID:** `92940b91...`
**Started:** 2025-12-24T01:31:05Z
**Spans:** 14

### Tool Usage
- Read: 4
- Bash: 2
- Edit: 2
...

Find Loops

uv run python -m runtime.harness scripts/braintrust_analyze.py --detect-loops

Weekly Review

uv run python -m runtime.harness scripts/braintrust_analyze.py --weekly-summary

Requirements

  • BRAINTRUSTAPIKEY in ~/.claude/.env or project .env
  • Braintrust tracing enabled (via braintrust-claude-plugin)