Jaesuk Ahn
Community@bluejaya · Seoul, Korea
Agent Skills by Jaesuk Ahn
Showing 31 vetted skills indexed across 2 GitHub repositories.
aidlc-requesting-code-review
Orchestrate multi-stage code-review workflows with specialized sub-agents and verdicts.
devflow-solutions
Persist debugging resolutions into a centralized knowledge base with YAML frontmatter and Markdown bodies.
aidlc-auto-mode
Automate end-to-end AI-DLC workflows from inception to build-test with gates and auditing.
aidlc-subagent-driven-development
Executes development plans by dispatching tasks to specialized subagents with two-stage review and TTL protocols.
aidlc-construction-orchestrator
Orchestrate the AI-DLC construction phase with approval gates and build-test integration.
aidlc-functional-design
Design functional specifications for software units in the AI-DLC construction phase.
aidlc-writing-skills
Create and validate AI agent skills with TDD-like process documentation.
aidlc-using-git-worktrees
Create an isolated git worktree before code generation begins.
aidlc-writing-plans
Generate executable implementation plans from design specifications with TDD cycles and commit strategies.
aidlc-brainstorming
Convert project ideas into detailed design documents through structured iterative processes.
aidlc-workflow-planning
Generate development approaches and a visual workflow plan for software projects.
aidlc-receiving-code-review
Analyze code review feedback and formulate evidence-based responses.
aidlc-units-generation
Decompose software systems into independently implementable units with dependencies and interfaces.
aidlc-verification-before-completion
Execute verification commands and review outputs before asserting task completion.
aidlc-requirements-analysis
Analyze software requirements with adaptive depth and resolve ambiguities via clarifying questions.
aidlc-nfr-requirements
Collects Non-Functional Requirements into a structured markdown document.
aidlc-code-generation
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aidlc-inception-orchestrator
Orchestrate the AI-DLC INCEPTION phase by sequencing stage skills and managing user decision gates.
aidlc-test-driven-development
Enforce the RED-GREEN-REFACTOR cycle for all code development.
aidlc-application-design
Design application component and service structures with interfaces, dependencies, and interaction diagrams.
aidlc-workspace-detection
Scan development workspaces to detect greenfield or brownfield project types.
aidlc-superpowers-tracking
Analyze audit logs and state files to summarize skill usage and failures.
aidlc-using-devflow
Orchestrate AI-DLC phases with devflow-state.md tracking and audit logging.
aidlc-executing-plans
Execute development plans in batched, sequential steps with session resumption.