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fastmcp-creator

Use when building, extending, or debugging FastMCP v3 Python MCP servers. Activates on FastMCP tool/resource/prompt creation, provider and transform implementation (CodeMode, Tool Search), auth setup (MultiAuth, PropelAuth, KeycloakProvider), client SDK usage, FastMCPApp and Generative UI server building, fastmcp-slim client-only installs, nginx reverse proxy deployment, Prefab Apps, OTEL observability, and testing. Grounded in local v3.3 docs — zero speculation.

71

Quality

86%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

This is a well-structured skill that excels as a routing/dispatch layer for a complex topic with many sub-domains. Its trigger matrix and decision flowcharts are highly actionable, and the progressive disclosure to reference files is exemplary. The main weaknesses are moderate verbosity in version gating and reference listings, and the lack of explicit step-by-step workflows with validation checkpoints for common multi-step tasks like building and deploying a server.

Suggestions

Consider moving the detailed version gating section (3.0–3.3 feature lists) to a separate reference file to reduce token cost in the main skill body.

Add a brief end-to-end workflow (e.g., 'Build → Test → Deploy') with explicit validation steps, such as running in-memory tests before switching to HTTP transport, to improve workflow clarity.

DimensionReasoningScore

Conciseness

The skill is mostly efficient — the trigger matrix, decision flowcharts, and version gating tables are dense and useful. However, the extensive version gating section with detailed release notes and the lengthy reference file listing add bulk that could be trimmed or offloaded to a separate file. The mermaid diagrams are a nice touch but add token cost for information that could be a simple table.

2 / 3

Actionability

The quick-start examples are fully executable and copy-paste ready. The v3 API corrections table gives concrete before/after patterns. The trigger matrix maps user intent directly to specific API calls and reference files, making it immediately actionable for Claude to know what to do and where to look.

3 / 3

Workflow Clarity

The skill provides good decision flowcharts for choosing providers, transports, and auth approaches, and includes a testing reminder before deployment. However, there is no explicit multi-step workflow with validation checkpoints for building and deploying a server end-to-end — the guidance is more of a lookup table than a sequenced process with feedback loops.

2 / 3

Progressive Disclosure

Excellent progressive disclosure: the SKILL.md serves as a clear overview and routing layer, with every topic pointing to a specific one-level-deep reference file. The trigger matrix, decision flowcharts, and reference file listing all provide well-signaled navigation to detailed content. Related skills are also clearly linked.

3 / 3

Total

10

/

12

Passed

Description

100%

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

This is a strong, well-crafted description that clearly identifies its niche (FastMCP v3 Python MCP servers), lists extensive specific capabilities, and provides explicit trigger guidance with 'Use when' and 'Activates on' clauses. The description is dense with relevant trigger terms that developers would naturally use. The only minor concern is that the density of terms could make it slightly harder to parse at a glance, but this doesn't materially impact its effectiveness for skill selection.

DimensionReasoningScore

Specificity

Lists numerous specific concrete actions: tool/resource/prompt creation, provider and transform implementation, auth setup with named providers, client SDK usage, server building, deployment, observability, and testing. Very detailed enumeration of capabilities.

3 / 3

Completeness

Explicitly answers both 'what' (building/extending/debugging FastMCP v3 Python MCP servers with specific capabilities listed) and 'when' (opens with 'Use when building, extending, or debugging' and 'Activates on' followed by detailed trigger scenarios).

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms users would say: 'FastMCP', 'MCP servers', 'tool', 'resource', 'prompt', 'auth', 'PropelAuth', 'KeycloakProvider', 'nginx reverse proxy', 'OTEL', 'Generative UI', 'fastmcp-slim', 'Prefab Apps'. These are highly specific terms a developer would naturally use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive — targets a very specific technology (FastMCP v3) with named features like CodeMode, MultiAuth, PropelAuth, KeycloakProvider, FastMCPApp, Prefab Apps, and fastmcp-slim. Extremely unlikely to conflict with other skills due to the narrow, well-defined niche.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
Jamie-BitFlight/claude_skills
Reviewed

Table of Contents

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