evaluation
Systematic evaluation and comparison of technologies, tools, frameworks, and approaches using weighted criteria and scoring matrices. Use when choosing between multiple technologies, vendor/tool selection, framework comparison, library selection, or architecture pattern selection.
npx skills add majiayu000/claude-skill-registry --skill evaluation-datorresb-vibecoding-starter --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Systematic evaluation and comparison of technologies, tools, frameworks, and approaches using weighted criteria and scoring matrices. Use when choosing between multiple technologies, vendor/tool selection, framework comparison, library selection, or architecture pattern selection.
How it works
The skill prescribes building a formal evaluation process: define criteria across technical, operational, team, business, and strategic categories; assign weights to reflect importance; create a scoring matrix to rate options against each criterion; conduct research and PoCs for finalists; document trade-offs; and formulate a defensible recommendation. It provides templates for a scoring matrix, trade-off tables, and a complete example comparing frontend frameworks, plus a step-by-step PoC and documentation guidance for testing and evaluation steps.
When to use it
Use this skill when:
- Choosing between multiple technologies — React vs Vue vs Angular
- Vendor/tool selection — Cloud providers, monitoring tools, CI/CD platforms
- Framework comparison — Express vs Fastify, Django vs Flask
- Library selection — State management, testing frameworks, HTTP clients
- Architecture pattern selection — Microservices vs Monolith, REST vs GraphQL
What it can touch
- Evaluation process elements: criteria definitions, weights, and scoring matrices
- Step-by-step research guidance and PoC structure
- Trade-off documentation and final recommendation formats
Caveats
- Documented limitations and risk considerations are provided within the recommendation section of the evaluation output.
- License and usage considerations are described for the framework/tool under evaluation if stated within the skill’s evaluation references, but the skill itself does not alter licensing terms.
# Evaluation Skill ## Core Principle **Evaluate with criteria, decide with data. Document the trade-offs.** Good evaluation: - **Starts with clear criteria** — Define what matters before evaluating - **Uses consistent scoring** — Apply the same standards to all options - **Weighs criteria by importance** — Not all factors are equal - **Documents trade-offs** — Every choice has costs and benefits - **Leads to defensible decisions** — Data-driven, not opinion-driven --- ## When to Use This Skill Use this skill when: - **Choosing between multiple technologies** — React vs Vue vs Angular - **Vendor/tool selection** — Cloud providers, monitoring tools, CI/CD platforms - **Framework comparison** — Express vs Fastify, Django vs Flask - **Library selection** — State management, testing frameworks, HTTP clients - **Architecture pattern selection** — Microservices vs Monolith, REST vs GraphQL --- ## Evaluation Framework ``` ┌────────────────────────────────────────────────────┐ │ EVALUATION PROCESS │ └────────────────────────────────────────────────────┘ 1. Define Evaluation Criteria ↓ 2. Assign Weights to Criteria ↓ 3. Research Each Option ↓ 4. Score Against Criteria ↓ 5. Hands-On Testing (
- Core Principle
- When to Use This Skill
- Evaluation Framework
- Step 1: Define Evaluation Criteria
- Categories of Criteria
- Step 2: Assign Weights
- Weighting Scale
- Example: Choosing a Database
- Step 3: Create Scoring Matrix
- Scoring Matrix Template
- Scoring Scale
- Step 4: Research Each Option
- Research Sources
- Technology Evaluation Checklist
What does the evaluation skill do?
Systematic evaluation and comparison of technologies, tools, frameworks, and approaches using weighted criteria and scoring matrices. Use when choosing between multiple technologies, vendor/tool selection, framework comparison, library selection, or architecture pattern selection.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill evaluation-datorresb-vibecoding-starter --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.