research-ideation
Brainstorm a small, evidence-aware set of research directions when the user explicitly asks to explore ideas, find a fresh angle, or get unstuck.
Skill by TQuang122
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/tquang122-research-ideation
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research-ideation
What's inside
- Skill name
research-ideation- Description
- Brainstorm a small, evidence-aware set of research directions when the user explicitly asks to explore ideas, find a fresh angle, or get unstuck. For one bounded proposal use /idea instead.
- License
- MIT
- Instructions
- 41 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Research Ideation Use this skill for broad, chat-based exploration of research directions. It helps the user compare candidate questions before choosing one for a structured proposal. ## Use boundaries - Use when the user explicitly asks to brainstorm, explore multiple directions, find a fresh angle, or get unstuck on a research problem. - If the user already has a specific falsifiable question and wants one bounded proposal, use the `/idea` workflow instead. - If the main need is source coverage, use `/lit` or deep research. Brainstorming alone cannot establish novelty or what a field has not studied. - Do not start separate Idea Forge panel calls, execute code, or create files from this skill. The user can choose a candidate and continue with `/idea`. ## Process 1. Use the user's project context and stated constraints. Do not restart with a questionnaire. Ask one grouped clarification only if missing information would substantially change the directions; otherwise state a brief assumption and proceed. 2. Choose two or three useful lenses, not every lens: - **Problem or solution first:** start from a real unmet need, or test whether a new capability solves a meaningful problem. - **Tension or trade-off:** look for goals commonly treated as incompatible and ask whether the trade-off is fundamental. - **Boundary or failure case:** identify where a method, assumption, or benchmark breaks down. - **Cross-field analogy:** borrow a mechanism only when the structural mapping is clear and yields a testable prediction. - **Composition or decomposition:** combine complementary methods or isolate which component causes an observed effect. - **Changed conditions:** consider new data, tools, compute, or policy only when those changes are provided or verified; never invent a recent development. 3. Generate **3–5 distinct candidates**. Keep each concise and specific to the user's domain and resources. 4. Compare candidates by problem relevance, falsifiability, feasibility, and the largest unresolved assumption. Use qualitative judgments; do not invent numeric scores. 5. Recommend at most one candidate with a short reason and state what evidence or prerequisite could change that recommendation. The user makes the final choice. ## Candidate format For each candidate provide: - **Question or hypothesis:** one testable sentence. - **Why it may be useful:** the problem or tension it addresses. - **Smallest informative test:** a pilot-scale comparison or observation, not a full experiment contract. - **Main uncertainty:** the assumption, data, source, or resource that remains unresolved. End with a brief comparison and a suggested next step. Mark ideas as exploratory. Do not describe them as novel, high-impact, or literature gaps unless those claims have been checked against sources. Do not treat model judgment as validation or imply that choosing an idea authorizes a benchmark. ## Attribution Adapted from Orchestra Research's `brainstorming-research-ideas` skill, distributed under the MIT License.
From TQuang122/hypatia, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 10, 2026 (18 days ago)
- Last release
- Oct 16, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/TQuang122/hypatia
- Website
- tquang122.github.io/hypatia/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from TQuang122
- 0.598score
research-diagrams
TQuang122
Create concise, evidence-grounded Mermaid diagrams for research explanations, method comparisons, workflows, and architectures.
SkillAFreshness: A★ 2Claude Code +9 - 0.598score
alpha-research
TQuang122
Search, read, and query research papers via Hypatia's alphaXiv-backed alpha tools.
SkillAFreshness: A★ 2Claude Code +9 - 0.593score
citation-export
TQuang122
Export the Sources section of a cited research draft to a BibTeX (.bib) file.
SkillAFreshness: A★ 2Claude Code +9 - 0.593score
dataset-finder
TQuang122
Find and rank datasets for a replication or ML task by requirements, license, and availability.
SkillAFreshness: A★ 2Claude Code +9 - 0.593score
research-wiki
TQuang122
Use when the current workspace contains `wiki/` and a research task could benefit from prior project synthesis, or the user asks to maintain that wiki.
SkillAFreshness: A★ 2Claude Code +9 - 0.593score
autoresearch
TQuang122
Run persistent bounded benchmark experiments or lineage-linked experiment trees with shared budgets, observed metrics, receipts, and pause/resume.
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Cite this page
research-ideation skill. Agent Mart. https://agentmart.dev/skills/tquang122-research-ideation (last updated 2026-10-24)