build-and-compile
Building, compiling, and resolving dependency issues across languages
Best practices for systematic research, source evaluation, and evidence gathering
$ npx -y skills add vstorm-co/pydantic-deepagents --skill research-methodology --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/research-methodologyContext preview
The summary Claude sees to decide when to auto-load this skill.
Best practices for systematic research, source evaluation, and evidence gathering
name: research-methodology description: Best practices for systematic research, source evaluation, and evidence gathering auto_load: false
1. **Academic papers** (peer-reviewed journals, arXiv preprints) 2. **Official documentation** (government, organization, project docs) 3. **Reputable news** (established outlets with editorial standards) 4. **Expert blog posts** (known authors with credentials) 5. **Community forums** (Stack Overflow, Reddit — use cautiously)
# [Sub-topic Title] ## Key Findings - Finding 1 [SOURCE: url, accessed YYYY-MM-DD] [HIGH confidence] - Finding 2 [SOURCE: url, accessed YYYY-MM-DD] [MEDIUM confidence] ## Contradictions - Source A says X, but Source B says Y ## Gaps - Could not find reliable data on Z
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.
Repo: vstorm-co/pydantic-deepagents
Building, compiling, and resolving dependency issues across languages
Working with diverse data formats: binary, text, structured, and custom
Systematic exploration of unknown environments before starting work
Writing efficient code that handles large data and tight constraints