How does this skill handle API research?

It provides structured checklists for API documentation, including authentication methods, rate limits, endpoint mapping, and error handling strategies to ensure no critical integration detail is missed.

Can I use this for technology comparisons?

Yes, the skill includes specialized templates and weighted comparison matrices to evaluate different libraries or frameworks based on performance, security, community support, and compatibility.

How does it ensure research quality?

It implements a source prioritization workflow that ranks official documentation and maintainer content above third-party tutorials, and includes a verification checklist for information currency and accuracy.

What is the PACT Prepare phase?

The PACT Prepare phase is the initial research stage of the PACT methodology, focusing on systematic documentation gathering and technology evaluation before any architecture or implementation begins.

PACT Prepare Research

Name: PACT Prepare Research
Author: ProfSynapse

byProfSynapse

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생산성 및 워크플로

Guides structured technology research, documentation gathering, and systematic framework evaluation within the PACT methodology.

소개

The PACT Prepare Research skill provides a rigorous framework for the foundational stage of software development, enabling Claude to conduct systematic technology evaluations and requirement gathering. It offers structured workflows for defining research scopes, prioritizing authoritative sources, and evaluating third-party libraries or APIs against custom success criteria. By using this skill, developers ensure that their architectural decisions are backed by verified evidence, risk assessments, and comprehensive documentation, creating a solid foundation before implementation begins.

주요 기능

Comprehensive API exploration templates for capturing endpoints and auth methods
Structured research scope definition with clear success criteria and constraints
Source prioritization engine to verify documentation authority and reliability
Standardized research output formatting for high-quality project documentation
Weighted technology comparison matrices for objective library and framework selection
36 GitHub stars

사용 사례

Gathering and formalizing technical requirements and user stories before coding
Evaluating and comparing multiple framework options for a new project architecture
Conducting deep-dive research into third-party API capabilities and rate limits

소개

주요 기능

Comprehensive API exploration templates for capturing endpoints and auth methods
Structured research scope definition with clear success criteria and constraints
Source prioritization engine to verify documentation authority and reliability
Standardized research output formatting for high-quality project documentation
Weighted technology comparison matrices for objective library and framework selection
36 GitHub stars

사용 사례

Gathering and formalizing technical requirements and user stories before coding
Evaluating and comparing multiple framework options for a new project architecture
Conducting deep-dive research into third-party API capabilities and rate limits