Unified developer workflow for fixing bugs. Analyzes issue-tracker context, cross-checks docs/code, proposes a solution, implements the fix, verifies locally, and delivers a PR/MR.
npx skills add https://github.com/HoangNguyen0403/agent-skills-standard --skill dev-fix
> [!IMPORTANT]
> Unified developer workflow for fixing bugs. Analyzes issue-tracker context, cross-checks docs/code, proposes a solution, implements the fix, verifies locally, and delivers a PR/MR.
Optional args: slug=<feature>, ticket=<id/url>, mode=interactive|autonomous|channel, channel=<id>, auto_continue=true|false, profile=business|hybrid|technical.
When the user asks to perform this workflow, execute the following steps:
Goal: Take a bug ticket from root-cause analysis through a locally-verified PR/MR, enforcing a strict Propose -> Approve -> Verify cycle.
/dev-fix <issue-url-or-key>
// turbo
git pull origin main in the standard repo.> [!TIP]
> Sub-Agent Delegation: If your platform supports sub-agents, delegate ticket extraction to specialist-jira-analyst and context lookup to specialist-codebase-scout. If sub-agents are NOT supported, execute these steps yourself.
Reproduce steps, Expected Result, and Actual Result.docs/prd/prd-plan-[slug].md.implementation-readiness; code only after READY or approved PARTIAL.> [!TIP]
> Sub-Agent Delegation: For the actual fix, delegate the TDD loop to specialist-tdd-implementer. If sub-agents are NOT supported, execute the TDD loop yourself using the TDD skill matched in AGENTS.md.
git worktree add ../<ticket-key> -b fix/<ticket-key> and cd into it.docs/srs/srs-task-list.md.common-tdd or the @specialist-tdd-implementer sub-agent. Follow common-best-practices and service-specific AGENTS.md rules.Do NOT rely on "it builds" — verify the fix against the issue reproduction steps.
quality-engineering-playwright-cli. Run the reproduction steps. Capture "After" snapshots.quality-engineering-appium-mcp. Run the reproduction steps on an emulator.Expected Result. If any sub-3px regressions exist, fix them now.docs/srs/srs-walkthrough.md.caveman-commit.docs/srs/srs-walkthrough.md with evidence of the local verification.slug, operator_profile (carried, not re-inferred), implementation plan path, task list path, walkthrough path, PR/MR link, outcome report, next workflow.# Implementation Plan: [Name]
## Goal
## Proposed Changes
## Task Slices
| Slice | Scope | Verification |
| ------- | ------- | -------------- |
| [slice] | [scope] | [verification] |
## Risks
## Verification Plan
## Next Workflow
implementation-readiness
# Task: [Name]
## Scope
## Checklist
- [ ] [task]
## Decisions
## Evidence
## Next Workflow
verify-work
# Walkthrough: [Name]
## Scope
## Acceptance Criteria
## Evidence
| Check | Result | Evidence |
| ------- | ------------------- | ---------- |
| [check] | [PASS/FAIL/BLOCKED] | [evidence] |
## Risks
## Outcome Report
feature_status: implemented | partially_implemented | blocked
requirement_trace: BRD-OBJ-* -> REQ-* -> AC-* -> SRS-* -> evidence
completed_evidence: []; missing_evidence: []; decision_needed: []; recommended_next_workflow: verify-bug | verify-work
## Next Workflow
verify-bug | verify-work
Call get_session_cost(workflow="dev-fix") before final handoff.
close browser/appium sessions used during verification.docs/srs/srs-walkthrough.md.Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Take hoangnguyen0403/dev-fix from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.