research-literature
Systematize research and literature gathering for engineering categories — queries doc index, capability map, and standards ledger to produce structured research briefs for calculation implementation. type: reference
Best use case
research-literature is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Systematize research and literature gathering for engineering categories — queries doc index, capability map, and standards ledger to produce structured research briefs for calculation implementation. type: reference
Teams using research-literature should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/research-literature/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How research-literature Compares
| Feature / Agent | research-literature | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Systematize research and literature gathering for engineering categories — queries doc index, capability map, and standards ledger to produce structured research briefs for calculation implementation. type: reference
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Research & Literature Gathering Skill ## Overview Use this skill when implementing calculations requires identifying applicable standards, gathering reference literature, and mapping gaps. It queries three existing data sources and produces a structured YAML research brief. ## Inputs - **category**: engineering discipline (e.g. `geotechnical`, `structural`, `subsea`) - **subcategory**: specific topic (e.g. `pile_capacity`, `fatigue`, `viv_analysis`) ## 8-Step Workflow 1. Query the Standards Ledger 2. Query the Document Index 3. Cross-Reference Capability Map 4. Produce the Research Brief 5. Search University & Academic Resources 6. Document Download Tasks 7. Deep Online Research 8. Download Script Generation See [workflow-steps.md](references/workflow-steps.md) for detailed commands and procedures for each step. See [templates.md](references/templates.md) for the research brief YAML template and domain-to-repo mapping. ## AC Checklist - [ ] Standards ledger queried for domain - [ ] Doc index searched with category and subcategory keywords - [ ] Capability map cross-referenced for implementation status - [ ] University/academic resources searched (textbooks, coursework, OCW) - [ ] Worked examples with known answers identified for TDD tests - [ ] Coursework materials archived in `knowledge/dark-intelligence/<category>/` - [ ] Research brief YAML saved to `.planning/capability-map/research-briefs/` - [ ] Download tasks identified with availability status - [ ] Brief reviewed for completeness before handing off to implementation WRK - [ ] Deep online research performed (WebSearch for free PDFs and papers) - [ ] Download script generated via `--generate-download-script` - [ ] Download script manually curated with discovered URLs - [ ] Downloads validated with `file *.pdf` (no HTML/WAF responses) ## See also - [data/dark-intel](https://github.com/vamseeachanta/data/tree/main/dark-intel) — dark intelligence archive where research materials and worked examples are stored
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