brainstorm-feature
Clarify a rough product or engineering idea into a BRD-lite brief (Why) with measurable business value.
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 -y skills add hoangnguyen0403/agent-skills-standard --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/dev-fixContext preview
What this command does when you run it.
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.
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.
**Input:** $ARGUMENTS
Optional args: slug=<feature>, ticket=<id/url>, mode=interactive|autonomous|channel, channel=<id>, auto_continue=true|false, profile=business|hybrid|technical.
Execute the following steps for **$ARGUMENTS**.
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
1. **Sync Registry**: `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.
1. **Analyze Ticket**: Use installed Jira/GitHub/GitLab/ADO MCP first; otherwise use exported ticket text. Extract `Reproduce steps`, `Expected Result`, and `Actual Result`. 2. **Cross-Check Context**: Use knowledge-base MCP when configured; otherwise use local code search. Locate relevant code. 3. **Create Implementation Plan**:
4. **HARD STOP**: Request user approval for the implementation plan. Mandatory at `snc_tier=high`; `medium` requires self-review first; `low` may skip approval in autonomous mode only. 5. **Readiness Gate**: Run `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`.
1. **Worktree Branching**: Create a new worktree for the fix using `git worktree add ../<ticket-key> -b fix/<ticket-key>` and `cd` into it. 2. **Task Tracking**:
3. **Code**: Implement the fix using `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.
1. **Launch Dev Server**: Run the local dev environment for the service. 2. **Execute QE Audit**:
3. **Final Verdict**: Compare results against the issue `Expected Result`. If any sub-3px regressions exist, fix them now.
1. **Commit**: Generate a commit message using `caveman-commit`. 2. **PR/MR Details**: Draft provider-appropriate PR/MR notes and link the source issue. 3. **Walkthrough**:
---
# 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 requiremen
The portable SDLC standards layer for AI coding agents. Sync once, then work in your own runtime.
Repo: hoangnguyen0403/agent-skills-standard
Clarify a rough product or engineering idea into a BRD-lite brief (Why) with measurable business value.
Run an AI-assisted PR code review using multi-layer lenses with confidence scoring.
Review an entire codebase for architecture, engineering health, and exploitable risk; generate a prioritized remediation plan, an evidence-anchored system…
Prepare and verify a staged or production deployment with rollback and smoke checks.
Turn an approved PRD or implementation goal into SRS/FRS technical requirements (How), architecture, contracts, and verification decisions.