AGENT SKILL

research

Rigorous research workflow for deep synthesis, first-principles reasoning, cross-domain transfer, adversarial review, prediction calibration, reproducibility, and research_vault memory writeback.

License 许可
MIT
最近更新
2026-11-03
Stars
★ 4
Forks
1

01 前言 Front Matter

name
research
description
Rigorous research workflow for deep synthesis, first-principles reasoning, cross-domain transfer, adversarial review, prediction calibration, reproducibility, and research_vault memory writeback.

02 资源文件 6

03 SKILL.md 正文

Skill: Research

Use When

Use this skill for deep research tasks that require:

  • structured problem framing
  • state-of-the-art mapping
  • historical evolution and future direction mapping
  • falsifiable hypothesis generation
  • explicit uncertainty and evidence attribution
  • adversarial challenge and replication planning

Inputs

  • Required:
    • research question, decision, or hypothesis to investigate
    • enough context to define scope, audience, and constraints
  • Optional:
    • seed sources, prior notes, or local research_vault/ material
    • target output format, deadline, or calibration horizon

Workflow

  1. Follow the full protocol in references/research_protocol.md.
  2. Treat references/system_prompt.md as behavioral constraints.
  3. Use local memory at ./research_vault/ when available.
  4. If filesystem write is restricted, return Simulated Vault Output and state limitations.

Output Contract

Use exact section titles:

  1. Core Essence
  2. Evolutionary Map
  3. Vulnerabilities and Blind Spots
  4. Cross-Boundary Inspiration
  5. Falsifiable Conclusions

Append:

  • Source Table
  • Uncertainties
  • Self-Audit
  • Priority Matrix
  • Predictions and Calibration Plan
  • Adversarial Review
  • Replication Pack
  • Vault Writeback Log

Install

From repository root:

# Codex (default)
./scripts/install_skill.sh research

# Claude Code
./scripts/install_skill.sh research --tool claude

# Other tools
./scripts/install_skill.sh research --dest ~/.my-tool/skills

Limits

  • This skill is designed for rigorous synthesis, not instant answers.
  • Output quality depends on source quality, scope clarity, and available evidence.
  • Common failure cases:
    • weak or missing primary sources
    • underspecified scope or success criteria
    • missing filesystem access for real vault writeback

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