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name: linting-codebase description: | Parallel lint fixing pattern - runs lint checks, groups issues into independent streams, and dispatches AI agents to fix all issues until the codebase is clean.

trigger: |

• User runs /lint command
• Codebase has lint issues that need fixing
• Multiple lint errors across different files/components

skip_when: |

• Single lint error → fix directly without agent dispatch
• Lint already passes → nothing to do
• User only wants to see lint output, not fix

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Linting Codebase

Overview

This skill runs lint checks on the codebase, analyzes the results to identify independent fix streams, and dispatches parallel AI agents to fix all issues. The process iterates until the codebase passes all lint checks.

Core principle: Group lint issues by file/component, dispatch one agent per independent stream, iterate until clean.

⛔ CRITICAL CONSTRAINTS

These constraints are NON-NEGOTIABLE and must be communicated to ALL dispatched agents:

┌─────────────────────────────────────────────────────────────────┐
│  🚫 DO NOT CREATE AUTOMATED SCRIPTS TO FIX LINT ISSUES         │
│  🚫 DO NOT CREATE DOCUMENTATION OR README FILES                 │
│  🚫 DO NOT ADD COMMENTS EXPLAINING THE FIXES                   │
│  ✅ FIX EACH ISSUE DIRECTLY BY EDITING THE SOURCE CODE         │
│  ✅ MAKE MINIMAL CHANGES - ONLY WHAT'S NEEDED FOR LINT         │
└─────────────────────────────────────────────────────────────────┘

Phase 1: Lint Execution

Step 1.1: Detect Lint Command

Priority: make lint → npm run lint → yarn lint → pnpm lint → golangci-lint run → cargo clippy → ruff check . → eslint .

Step 1.2: Run Lint

<lint_command> 2>&1 | tee /tmp/lint-output.txt && echo "EXIT_CODE: $?"

Step 1.3: Parse Results

Extract: file path, line:column, error code/rule, message, severity (error/warning).

Phase 2: Stream Analysis

Step 2.1: Group Issues

Group lint issues into independent streams that can be fixed in parallel:

Grouping strategies (choose based on issue count):

Issue Count	Grouping Strategy
< 10 issues	Group by file
10-50 issues	Group by directory
50-100 issues	Group by error type/rule
> 100 issues	Group by component/module

Step 2.2: Identify Independence

A stream is independent if: files don't import/depend on each other, fixes won't conflict, agents can work without knowledge of other streams.

Step 2.3: Create Stream Summary

Output format: Total issues, Streams (path, issue types, count, independence status), Recommended agents (one per stream).

Phase 3: Parallel Agent Dispatch

Step 3.1: Prepare Agent Prompts

Each agent receives: Scope (files/directories), Issues (file:line:col + message), Constraints (from Critical Constraints above), Output (files modified, issues fixed, issues unable to fix with reasons).

Step 3.2: Dispatch Agents in Parallel

CRITICAL: Single message with multiple Task tool calls - one general-purpose agent per stream.

Step 3.3: Await All Agents

Wait for all dispatched agents to complete before proceeding.

Phase 4: Verification Loop

Step 4.1: Re-run Lint

After all agents complete, run <lint_command> 2>&1.

Step 4.2: Evaluate Results

Result	Action
Lint passes	✅ Done
Same issues remain	⚠️ Investigate why fixes failed
New issues appeared	🔄 Analyze + dispatch new agents
Fewer issues remain	🔄 Create new streams, repeat

Step 4.3: Iterate If Needed

Maximum iterations: 5. If issues persist: report remaining, ask user, investigate (lint conflicts, auto-fix impossible).

Agent Dispatch Rules

DO dispatch when:

• 3+ files have lint issues
• Issues are in independent areas
• Fixes are mechanical (unused vars, formatting, etc.)

DO NOT dispatch when:

• Single file has issues → fix directly
• Issues require architectural decisions
• Fixes would cause breaking changes

Agent selection:

Issue Type	Agent Type
TypeScript/JavaScript	general-purpose
Go	general-purpose or backend-engineer-golang
Security lints	security-reviewer for analysis first
Style/formatting	general-purpose

Output Format

Success: Initial issues, Streams processed, Agents dispatched, Iterations, Final status (all pass), Changes by stream (files, issues fixed).

Partial: Initial/fixed/remaining issues, Iterations (max reached), Remaining issues with reasons (e.g., requires external types, intentional usage), Recommended actions (manual review, lint exceptions, type definitions).

Error Handling

Error	Response
Lint command not found	Ask user to specify command
Agent failure	Options: retry stream, skip, investigate manually
Conflicting changes	Report file + lines, ask user to merge manually

Integration with Other Skills

Skill	When to use
dispatching-parallel-agents	Pattern basis for this skill
systematic-debugging	If lint errors indicate deeper issues
requesting-code-review	After lint passes, before merge

Example Session

/lint → Run lint → 16 issues in 3 areas → Analyze streams (API: 5, Services: 8, Utils: 3) → Dispatch 3 parallel agents → All complete → Re-run lint → ✅ All pass.