braintrust-analyze▌
parcadei/continuous-claude-v3 · updated Apr 8, 2026
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Analyze your Claude Code sessions for patterns, issues, and insights using Braintrust tracing data.
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
- BRAINTRUST_API_KEY in ~/.claude/.env or project .env
- Braintrust tracing enabled (via braintrust-claude-plugin)
How to use braintrust-analyze on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add braintrust-analyze
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches braintrust-analyze from GitHub repository parcadei/continuous-claude-v3 and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate braintrust-analyze. Access the skill through slash commands (e.g., /braintrust-analyze) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★45 reviews- ★★★★★Aanya Torres· Dec 24, 2024
I recommend braintrust-analyze for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Pratham Ware· Dec 20, 2024
braintrust-analyze has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Dev Abebe· Dec 20, 2024
braintrust-analyze fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Jin Khan· Dec 12, 2024
Keeps context tight: braintrust-analyze is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Naina Thomas· Nov 19, 2024
Useful defaults in braintrust-analyze — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hana Gill· Nov 15, 2024
Keeps context tight: braintrust-analyze is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Jin Choi· Nov 11, 2024
We added braintrust-analyze from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Carlos Singh· Nov 3, 2024
I recommend braintrust-analyze for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Mateo Smith· Oct 22, 2024
braintrust-analyze reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Naina Li· Oct 10, 2024
braintrust-analyze has been reliable in day-to-day use. Documentation quality is above average for community skills.
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