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learn-mcp

Focused interactive tutor for the Model Context Protocol (MCP) path in AI Engineering from Scratch. Start or resume this route when a learner wants to build, secure, debug, verify, or operate MCP clients, servers, transports, gateways, registries, or conformance gates. Teaches one lesson per invocation and records wire evidence in MCP-LEARNING.md.

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is learn-mcp in rohitg00/ai-engineering-from-scratch

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

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

A highly actionable, well-sequenced tutoring workflow with explicit validation checkpoints, error-recovery paths, and concrete commands, paths, and templates throughout. The only real costs are length — an inline state template and some duplicated evidence rules — which keep conciseness and progressive disclosure at 4 rather than 5.

DimensionReasoningScore

Conciseness

The body is dense imperative rules with no explanations of concepts Claude already knows, but the ~48-line inline state template, the restated redaction rules ("Redact tokens, secrets, cookies…" vs "Keep secret values redacted"), and the long lesson-screen paragraph could be trimmed. Efficient with minor over-elaboration — anchor 4, not the every-token-earns-its-place lean of 5.

4 / 5

Actionability

Fully concrete guidance: exact command (`python3 phases/13-tools-and-protocols/06-mcp-fundamentals/code/main.py`), exact file paths (`learning-paths/model-context-protocol.json`, `docs/en.md`, `quiz.json`), a fetch URL pattern, exact error code `-32022`, the quiz hint format "Reply with one letter: <A|B|C|D>.", and a copy-paste-ready state file template. For an instruction-only skill this is comprehensive and executable.

5 / 5

Workflow Clarity

Clear sequence (evidence mode → progress location → lesson → deployment gate → close) with explicit validation and feedback loops: "Mark the row `Done` only after the lesson checkpoint and quiz", command-failure fallback to conceptual evidence, "If any required evidence is missing, teach or rerun Lesson 15 and keep the deployment action pending", file-collision handling, and a verify-before-remove rename procedure. No destructive or batch step lacks validation.

5 / 5

Progressive Disclosure

Well-organized single file with clear section headers and one-level-deep references to external materials via exact paths and a fetch URL. The inline 17-row progress table and 48-line template are operationally needed but make SKILL.md long where a reference file could hold the template — good structure with minor organization gaps, anchor 4 rather than a fully split 5.

4 / 5

Total

18

/

20

Passed

Description

87%Weight 40%Scale 1-5

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

A strong description: it names a specific niche, gives an explicit when-clause with concrete trigger conditions, and stays in third person without fluff. Keyword coverage is good, though a few natural user phrasings (e.g. "learn MCP") would make triggering even more reliable.

DimensionReasoningScore

Specificity

Lists several concrete action/object pairs — "build, secure, debug, verify, or operate MCP clients, servers, transports, gateways, registries, or conformance gates" plus "Teaches one lesson per invocation and records wire evidence in MCP-LEARNING.md". Not 5 because verbs like "build" and "operate" are broader than anchor-5's fully concrete actions; well above 3's 1–2 actions.

4 / 5

Completeness

Explicitly answers both: what ("Focused interactive tutor… Teaches one lesson per invocation and records wire evidence in MCP-LEARNING.md") and when ("Start or resume this route when a learner wants to build, secure, debug, verify, or operate MCP clients, servers…") with concrete trigger conditions, in third person.

5 / 5

Trigger Term Quality

Includes both full name and acronym ("Model Context Protocol (MCP)") and the component nouns users would naturally say ("MCP clients, servers, transports, gateways, registries") alongside "tutor" and "lesson". A few natural phrasings like "learn MCP" or "teach me MCP" are absent, keeping it below 5.

4 / 5

Distinctiveness Conflict Risk

Scoped to a clear niche — "the Model Context Protocol (MCP) path in AI Engineering from Scratch" — with distinct triggers ("conformance gates", "registries", "transports") and learning-context framing ("learner", "route", "tutor") that minimizes conflict with generic MCP-development or other tutoring skills.

5 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

rohitg00/ai-engineering-from-scratch

Path

.claude/skills/learn-mcp/SKILL.md

Reviewed

Table of Contents

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