Analyze your Claude Code sessions for patterns, issues, and insights using Braintrust tracing data.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbraintrust-analyzeExecute the skills CLI command in your project's root directory to begin installation:
Fetches braintrust-analyze from parcadei/continuous-claude-v3 and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate braintrust-analyze. Access via /braintrust-analyze in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
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Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Analyze your Claude Code sessions for patterns, issues, and insights using Braintrust tracing data.
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
--project NAME - Braintrust project name (default: agentica)Find sessions where the same tool was called repeatedly, which may indicate:
# 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
...
uv run python -m runtime.harness scripts/braintrust_analyze.py --detect-loops
uv run python -m runtime.harness scripts/braintrust_analyze.py --weekly-summary
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
parcadei/continuous-claude-v3
parcadei/continuous-claude-v3
jwynia/agent-skills
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github/awesome-copilot
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I recommend braintrust-analyze for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
braintrust-analyze has been reliable in day-to-day use. Documentation quality is above average for community skills.
braintrust-analyze fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: braintrust-analyze is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in braintrust-analyze — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: braintrust-analyze is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added braintrust-analyze from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend braintrust-analyze for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
braintrust-analyze reduced setup friction for our internal harness; good balance of opinion and flexibility.
braintrust-analyze has been reliable in day-to-day use. Documentation quality is above average for community skills.
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