Name: gap-analysis
Rating: 80 (1 reviews)
Author: TanStack

gap-analysis

Audit TanStack AI provider adapters for feature parity gaps and outdated model lists. Triggered as /gap-analysis <provider|feature <name>|models|--all>. Produces a dated markdown report under .agent/gap-analysis/. Maintainer tool — does not edit feature-support.ts or model-meta.ts directly.

Quality

100%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

100%

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

The skill body is well-structured and highly actionable: a clear sequenced workflow, concrete file/tool references, a verification checkpoint, and appropriately split one-level-deep bundle files. It respects token budget while remaining copy-paste ready.

Dimension	Reasoning	Score
Conciseness	Lean and efficient — assumes Claude's competence, drops in exact file paths and MCP tool names with no concept preamble, and every section earns its tokens.	3 / 3
Actionability	Provides executable specifics: concrete source paths, exact MCP server tool names, subagent fan-out with a max-3-parallel limit, the output path pattern, and a git-status verification command.	3 / 3
Workflow Clarity	A seven-step sequenced workflow culminates in an explicit 'Verification before finishing' checklist with a validation checkpoint (git status confirms no source edits) and a WebSearch fallback for moved docs.	3 / 3
Progressive Disclosure	The body is an overview that links three real one-level-deep bundle files (audit-checklist.md, report-template.md, provider-doc-urls.md), each clearly signaled inline with its purpose.	3 / 3
	Total	12 / 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.

The description is specific, trigger-rich, complete, and distinct: it names concrete actions, gives an explicit invocation signature, and carves out a clear maintainer-only niche. It avoids vague fluff and over-claims.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — auditing adapters for feature parity gaps and outdated model lists, producing a dated markdown report, and explicitly not editing source files.	3 / 3
Completeness	Clearly answers what it does (audit + report) and when to use it via the explicit 'Triggered as /gap-analysis ...' clause, satisfying both what and when.	3 / 3
Trigger Term Quality	Contains natural terms a user would say (feature parity gaps, outdated model lists, provider names) plus an explicit invocation signature '/gap-analysis <provider\|feature <name>\|models\|--all>'.	3 / 3
Distinctiveness Conflict Risk	A narrow TanStack AI provider-adapter audit niche with a distinct slash-command trigger, making conflict with other skills unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

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: TanStack/ai
Path: .claude/skills/gap-analysis/SKILL.md
Commit: 4ab149f

Reviewed: about 14 hours ago

Table of Contents

Discovery Implementation Validation

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