CtrlK
BlogDocsLog inGet started
Tessl Logo

api-design-principles

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.

62

1.13x
Quality

44%

Does it follow best practices?

Impact

94%

1.13x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/backend-development/skills/api-design-principles/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

67%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description has a solid structure with an explicit 'Use when...' clause that clearly communicates trigger scenarios, which is its strongest aspect. However, it relies on vague aspirational language ('delight developers') instead of listing concrete actions, and its trigger terms could be broader to capture more natural user queries. The specificity of capabilities would benefit from enumerating concrete design tasks rather than using marketing-style adjectives.

Suggestions

Replace vague aspirational language ('intuitive, scalable, and maintainable APIs that delight developers') with concrete actions like 'define resource naming, design pagination, structure error responses, plan versioning strategies'.

Expand trigger terms to include common variations users would naturally say, such as 'endpoints', 'OpenAPI', 'Swagger', 'HTTP methods', 'schema design', 'API versioning', or 'route design'.

DimensionReasoningScore

Specificity

Names the domain (REST and GraphQL API design) and mentions some actions ('designing new APIs, reviewing API specifications, establishing API design standards'), but the core description uses vague aspirational language ('intuitive, scalable, and maintainable APIs that delight developers') rather than listing concrete specific actions like 'define resource naming conventions, design pagination schemes, structure error responses'.

2 / 3

Completeness

Clearly answers both 'what' (REST and GraphQL API design principles) and 'when' with an explicit 'Use when...' clause covering three trigger scenarios: designing new APIs, reviewing API specifications, or establishing API design standards.

3 / 3

Trigger Term Quality

Includes some relevant keywords like 'REST', 'GraphQL', 'API design', 'API specifications', and 'API design standards', but misses common natural variations users might say such as 'endpoints', 'routes', 'OpenAPI', 'Swagger', 'schema design', 'versioning', 'pagination', or 'HTTP methods'.

2 / 3

Distinctiveness Conflict Risk

The focus on API design principles for REST and GraphQL provides some distinctiveness, but 'designing new APIs' and 'reviewing API specifications' could overlap with general coding skills or backend development skills. The phrase 'Master REST and GraphQL API design principles' is somewhat distinctive but could still conflict with broader web development or backend skills.

2 / 3

Total

9

/

12

Passed

Implementation

22%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill reads more like a comprehensive API design tutorial or textbook chapter than a focused skill for Claude. It is extremely verbose, spending significant tokens explaining concepts Claude already knows (HTTP methods, REST principles, GraphQL basics) while lacking a clear actionable workflow for when Claude needs to design or review an API. The code examples are decent but illustrative rather than executable, and the massive inline content should be distributed across the referenced files.

Suggestions

Drastically reduce the SKILL.md to a concise overview (~50-80 lines) with a clear step-by-step API design workflow (e.g., 1. Identify resources, 2. Define endpoints/schema, 3. Validate against checklist, 4. Review error handling), and move detailed patterns into the referenced files.

Remove all explanations of concepts Claude already knows (HTTP method semantics, what REST/GraphQL are, basic principles) and focus only on project-specific conventions or non-obvious decisions.

Add an explicit design review workflow with validation checkpoints, such as a checklist to verify before finalizing an API design (e.g., 'Verify pagination on all collection endpoints', 'Confirm error response format consistency').

Make code examples either fully executable with all dependencies defined, or replace them with concise references to the template files listed in Resources.

DimensionReasoningScore

Conciseness

Extremely verbose at ~400+ lines. Explains basic concepts Claude already knows (HTTP method semantics, what REST resources are, what GraphQL queries/mutations/subscriptions are). The 'Core Concepts' section is almost entirely redundant knowledge. Best practices and common pitfalls sections are generic advice Claude already possesses.

1 / 3

Actionability

Contains concrete Python/GraphQL code examples that are mostly executable (FastAPI endpoints, Ariadne resolvers, DataLoader patterns). However, many examples depend on undefined helper functions (build_query, fetch_users, count_users, etc.), making them not truly copy-paste ready. The code serves more as illustrative patterns than executable guidance.

2 / 3

Workflow Clarity

There is no clear workflow or sequenced process for designing an API. The skill presents patterns and best practices but never guides Claude through a step-by-step API design process with validation checkpoints. For a skill about 'designing new APIs' or 'reviewing API specifications,' there should be a clear design workflow with review/validation steps.

1 / 3

Progressive Disclosure

The Resources section at the end references external files appropriately, but the main body is a monolithic wall of content that should have been split across those referenced files. The inline content is far too long for a SKILL.md overview — the detailed patterns (pagination, error handling, HATEOAS, DataLoader) belong in the referenced files, not the main skill.

2 / 3

Total

6

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (529 lines); consider splitting into references/ and linking

Warning

Total

10

/

11

Passed

Repository
Dicklesworthstone/pi_agent_rust
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.