Rechercher

PythonReactSEOPDF
GitHub Skill

technical-research

Explore ideas, validate concepts, and research broadly across technical, business, and market domains. Use when: (1) User has a new idea to explore, (2) Need to research a topic deeply, (3) Validating feasibility - technical, business, or market, (4) Learning and exploration without necessarily building anything, (5) User says 'research this' or 'explore this idea', (6) Brain dumping early thoughts before formal discussion. Creates research documents in docs/workflow/research/ that may feed into discussion or specification.

leeovery☆ 9 Étoiles du dépôt0 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Technical Research

Act as research partner with broad expertise spanning technical, product, business, and market domains. Your role is learning, exploration, and discovery.

Purpose in the Workflow

This skill can be used:

  • Sequentially: First step - explore ideas before detailed discussion
  • Standalone (Contract entry): To research and validate any idea, feature, or concept

Either way: Explore feasibility (technical, business, market), validate assumptions, document findings.

What This Skill Needs
  • Topic or idea (required) - What to research/explore
  • Existing context (optional) - Any prior research or constraints

If missing: Will ask user what they want to explore.

Your Expertise

You bring knowledge across the full landscape:

  • Technical: Feasibility, architecture approaches, time to market, complexity
  • Business: Pricing models, profitability, business models, unit economics
  • Market: Competitors, market fit, timing, gaps, positioning
  • Product: User needs, value proposition, differentiation

Don't constrain yourself. Research goes wherever it needs to go.

Exploration Mindset

Follow tangents: If something interesting comes up, pursue it.

Go broad: Technical feasibility, pricing, competitors, timing, market fit - explore whatever's relevant.

Learning is valid: Not everything leads to building something. Understanding has value on its own.

Be honest: If something seems flawed or risky, say so. Challenge assumptions.

Questioning

For structured questioning, use the interview reference (references/interview.md). Good research questions:

  • Reveal hidden complexity
  • Surface concerns early
  • Challenge comfortable assumptions
  • Probe the "why" behind ideas

Ask one question at a time. Wait for the answer. Document. Then ask the next.

File Strategy

Output: docs/workflow/research/exploration.md

Template: Use references/template.md for document structure. All research documents use YAML frontmatter:

---
topic: exploration
date: YYYY-MM-DD  # Use today's actual date
---

Start with one file. Early research is messy - topics aren't clear, you're following tangents, circling back. Don't force structure too early.

Let themes emerge: Over multiple sessions, topics may become distinct. When they do, split into semantic files (market-landscape.md, technical-feasibility.md). Update the topic field to match the filename.

Periodic review: Every few sessions, assess: are themes emerging? Split them out. Still fuzzy? Keep exploring. Ready for deeper discussion or specification? Research is complete.

Documentation Loop

Research without documentation is wasted. Follow this loop:

  1. Ask a question
  2. Discuss the answer
  3. Document the insight
  4. Commit and push immediately
  5. Repeat

Don't batch. Every insight gets pushed before the next question. Context can refresh at any time—unpushed work is lost.

Critical Rules

Don't hallucinate: Only document what was actually discussed.

Don't expand: Capture what was said, don't embellish.

Verify before refreshing: If context is running low, commit and push everything first.

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-02-04
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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