Sync Claude Code configs and skills from GitHub . for teams, communities, or across your personal projects. Run evals to verify your guidelines actually work.
git clone https://github.com/HartBrook/staghorn.gitThe staghorn skill is designed to streamline the synchronization of Claude Code configurations and skills directly from GitHub. This automation tool is particularly beneficial for teams, communities, or individual developers managing multiple projects. By running evaluations, users can ensure that their guidelines are effective and functioning as intended, thus enhancing the overall reliability of their workflows. With a moderate implementation time of just 30 minutes, staghorn offers a practical solution for maintaining consistency across various coding environments. One of the key benefits of using staghorn is its ability to save developers time by automating the sync process. Instead of manually updating configurations, teams can focus on more critical tasks, allowing them to allocate their resources more effectively. While the exact time savings are not quantified, the reduction in manual errors and the ability to quickly verify guidelines can lead to significant efficiency gains in the long run. This skill is particularly suited for developers, product managers, and AI practitioners who frequently work with GitHub repositories. By integrating staghorn into their workflows, these professionals can ensure that their projects remain aligned with the latest configurations, thereby improving collaboration and productivity. For instance, a development team working on a large-scale application can use staghorn to keep all team members updated with the latest code practices, reducing discrepancies and enhancing code quality. With an intermediate complexity level, staghorn requires users to have a basic understanding of GitHub and Claude Code. It fits seamlessly into AI-first workflows by automating routine tasks, allowing teams to concentrate on innovation and development. As organizations increasingly adopt AI automation, tools like staghorn will become essential for maintaining streamlined operations and ensuring that AI agents are equipped with the most current skills and configurations.
["1. **Prepare Your Repository**: Ensure your Claude Code configs and skills are stored in a GitHub repository (e.g., `https://github.com/yourorg/claude-configs`). Organize files by category (e.g., `skills/`, `guidelines/`, `prompts/`).","2. **Sync Configs**: Use the Staghorn CLI or integration to pull the latest configs from GitHub into your local or team environments. For teams, run: `staghorn sync --repo [REPO_URL] --env [TEAM/PERSONAL]`.","3. **Define Test Inputs**: Prepare sample inputs for each skill you want to evaluate (e.g., a sample sales deal, support ticket, or campaign brief). Store these in a `test_inputs/` folder in your repo.","4. **Run Evals**: Execute the eval process with: `staghorn eval --skills [SKILL_NAMES] --inputs [TEST_INPUTS]`. For comprehensive testing, use `--all` to evaluate every skill in your config.","5. **Review & Act**: Analyze the eval report for discrepancies or failures. Update configs in GitHub if needed, then re-sync and re-eval. Share the report with your team for alignment."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/HartBrook/staghornCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Sync your [TEAM/PERSONAL] Claude Code configurations and AI skills from GitHub repository [REPO_URL] to ensure consistency across environments. After syncing, run evals to verify that all guidelines, prompts, and workflows work as intended by testing with sample inputs like [SAMPLE_INPUT]. Share a summary of any discrepancies or issues found during the eval process.
### Sync & Validation Report for Acme Corp's Claude Code Configs **Sync Status:** ✅ Successfully synced from GitHub repository `https://github.com/acmecorp/claude-configs` to local and team environments. All 42 skills, 18 prompts, and 7 custom guidelines were transferred without errors. **Eval Results:** 1. **Sales Pipeline Skill:** Tested with 50 sample deals. The AI correctly identified 3 high-risk deals (slipping >15% from target) and recommended next steps like "Schedule follow-up call with [DECISION_MAKER] within 48 hours." 2. **Customer Support Triage:** Evaluated with 25 support tickets. The skill accurately prioritized 8 high-urgency tickets (response time SLA breach) and escalated 2 to senior agents. 3. **Marketing Campaign Generator:** Tested with 10 campaign briefs. The AI produced 3 variations per brief, but one variation (for a B2B SaaS product) included outdated industry stats. Flagged for review. **Discrepancies Found:** - **Guideline Drift:** The "Client Escalation" guideline was updated in GitHub but not reflected in the live environment. The AI still referenced the old SLA of 24 hours instead of the new 6-hour window. - **Missing Skills:** Two skills (`competitor-analysis` and `pricing-strategy`) were not synced due to a `.gitignore` conflict. Added to the next sync cycle. **Recommendations:** 1. Update the `Client Escalation` guideline in the live environment to match GitHub. 2. Investigate the `.gitignore` conflict for missing skills. 3. Schedule a team review of the marketing campaign variations to update industry stats. **Next Steps:** - Run a full regression test on Friday. - Share this report with the team via Slack #claude-configs channel. --- *Report generated by Staghorn on 2023-11-15. Total evals run: 3. Issues found: 2.*
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