ai coding assistant tools skills

56 tagged ai coding assistant tools, measured the same way as everything else here.

Browse within: agent-orchestration 44claude-ai-skills 44claude-code-agents 44anthropic-claude 12claude-code-skills 12

codebase-index

01

d3x293/code-crew

Skill Claude CodeCodex

3-layer codebase indexing system for token-efficient code navigation. Builds compact index + symbol map so agents read targeted lines instead of entire files. Achieves 5-10x token savings.

13 4mo ago A 42 tokens original MIT

crew-init

02

d3x293/code-crew

Skill Claude CodeCodex

Analyzes a project codebase, builds 3-layer index, generates project profile, and auto-configures the agent team with relevant skills. The main initialization skill for CodeCrew.

13 4mo ago A 39 tokens original MIT

d3x293/code-crew

Skill Claude CodeCodex

Smart hybrid execution engine that dispatches agents in parallel or sequential order based on task dependencies. Manages the Agent tool calls, result collection, conflict detection, and integration review.

13 4mo ago A 40 tokens original MIT

a11y-audit

04

viknesh20-20/claude-code-tool-kit

Skill Claude CodeCodex

Accessibility audit of UI code or a running site against WCAG 2.1 AA. Walks every WCAG criterion that maps to common patterns: keyboard reach, focus visibility, contrast, semantic HTML, ARIA, labels, alt text, motion, screen-reader sense. Severity-graded with code fixes.

7 4mo ago A 68 tokens original MIT

business-blueprint

05

viknesh20-20/claude-code-tool-kit

Skill Claude CodeCodex

Comprehensive business-logic blueprint for SaaS, ERP, e-commerce, and marketplace applications. Walks through every domain (auth, billing, multi-tenancy, inventory, audit, compliance, etc.), surfaces the edge cases that actually break in production, and proposes a concrete plan tailored to the user's context.

7 4mo ago A 66 tokens original MIT

viknesh20-20/claude-code-tool-kit

Skill Claude CodeCodex

Reviews existing business code (billing, multi-tenancy, state machines, inventory, GL postings, audit logs, etc.) for missing real-world edge cases. Severity-graded findings — invariant violations, race conditions, missing idempotency, currency precision bugs, audit gaps, jurisdiction issues.

7 4mo ago A 63 tokens original MIT