braintrust-analyze skill
Analyze Claude Code sessions via Braintrust
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Install the braintrust-analyze skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3 mkdir -p ~/.claude/skills cp -r /tmp/Continuous-Claude-v3/.claude/skills/braintrust-analyze ~/.claude/skills/braintrust-analyze
available in every project
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
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-trendsOptions
- --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-sessionOutput:
## 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-loopsWeekly Review
uv run python -m runtime.harness scripts/braintrust_analyze.py --weekly-summaryRequirements
- BRAINTRUSTAPIKEY in ~/.claude/.env or project .env
- Braintrust tracing enabled (via braintrust-claude-plugin)
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- Aagentica-infrastructureReference guide for Agentica multi-agent infrastructure APIs
- Aagentica-promptsWrite reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
- Aagentica-sdkBuild Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
- Aagentica-serverAgentica server + Claude proxy setup - architecture, startup sequence, debugging
- Aagentica-spawnSpawn Agentica multi-agent patterns
- Aanalytic-functionsProblem-solving strategies for analytic functions in complex analysis
- Aast-grep-findAST-based code search and refactoring via ast-grep MCP
- Aasync-repl-protocolAsync REPL Protocol