Skills for Real Engineers. Straight from my .agents directory.
deep-research
Agent skill fromdaymade/claude-code-skills
Creates reusable, source-traced research reports and coordinates provider/mode lanes with original exports. Use for 深度研究, 调研报告, literature reviews, market or company research, and ChatGPT/Kimi/UniFuncs research routes. Technology choice uses tech-selection; competitor code uses competitors-analysis.
How to install deep-research
npx skills add daymade/claude-code-skills# or add only this skill to Claude Code: copy the folder
deep-research/
# into
~/.claude/skills/deep-research/ (all projects)
.claude/skills/deep-research/ (one project)
1# Deep Research23Create high-fidelity research reports with strict format control, evidence mapping, source governance, and multi-pass synthesis.45## Architecture: Lead Agent + Subagents67```8Lead Agent (coordinator — minimizes raw search context)9 |10 P0: Environment + source policy setup11 |12 P1: Question and claim map (decision questions, evidence routes, stop rules)13 |14 Dispatch ──→ Subagent A ──→ writes task-a.md ──┐15 ──→ Subagent B ──→ writes task-b.md ──┤ (parallel)16 ──→ Subagent C ──→ writes task-c.md ──┘17 | |18 | research-notes/ <────────────────────────┘19 |20 P2: Dispatch + investigate → evidence packets21 P3: Citation registry + source governance22 P4: Evidence-mapped outline with counter-evidence and unknowns23 P5: Draft from evidence packets; reopen decisive originals24 P6: Counter-review (claims, confidence, alternatives)25 P7: Verify → asset check and catalog registration26```2728**Context discipline:** Keep raw search-result noise in task workspaces. Pass evidence packets to the lead agent, including locators and short source excerpts. Notes are routing aids, not authorities: the lead agent must open the original source for every load-bearing claim, conflicting claim, and exact figure/date/quotation used in the report.2930## Run and asset contract — every invocation31…
Excerpt shown under the repository's MIT license.
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