Generate format-controlled research reports with evidence tracking, citations, and iterative review. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief, or require a strict report template and section formatting that a single deepresearch pass cannot reliably enforce. --- # Deep Research Create high-fidelity research reports with strict format control, evidence mapping, and multi-pass synthesis. ## Quick Start 1. Clarify the report spec and format contract 2. Build a research plan and query set 3. Collect evidence with the deepresearch tool (multi-pass if needed) 4. Triage sources and build an evidence table 5. Draft the full report in multiple complete passes (parallel subagents) 6. UNION merge, enforce format compliance, verify citations 7. Present draft for human review and iterate ## Core Workflow
Accumulate evidence (screenshots, videos, logs) under .artifacts/<feature=branch_name>/ for visual regression and PR documentation workflow. [MANDATORY] Before saying "implementation complete", you MUST use this skill to collect evidence and present a report with proof. Completion reports without evidence are PROHIBITED.
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Sort by downloads/likes/comments/updated to find higher-quality skills.
4. Which import methods are supported?
Upload archive: .zip / .skill (recommended)
Upload skills folder
Import from GitHub repository
Note: file size for all methods should be within 10MB.
5. How to use in Claude / Codex?
Typical paths (may vary by local setup):
Claude Code:~/.claude/skills/
Codex CLI:~/.codex/skills/
One SKILL.md can usually be reused across tools.
6. Can one skill be shared across tools?
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
7. Are these skills safe to use?
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
8. Why does it not work after import?
Most common reasons:
Wrong folder path or nested one level too deep
Invalid/incomplete SKILL.md fields or format
Dependencies missing (Python/Node/CLI)
Tool has not reloaded skills yet
9. Does SkillWink include duplicates/low-quality skills?
We try to avoid that. Use ranking + comments to surface better skills: