research
Use when needing to understand requirements before implementation. Gathers context from Jira, Confluence, codebase, and docs. Produces research document with confidence scoring.
浏览 ferdiangunawan 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
8收录技能的仓库 Stars 合计
24仓库 Forks
0平均每个技能的仓库 Stars
3同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Use when needing to understand requirements before implementation. Gathers context from Jira, Confluence, codebase, and docs. Produces research document with confidence scoring.
Use when implementing features from Jira tickets, PRDs, or user requirements. Orchestrates Research-Plan-Implement workflow with quality gates for hallucination, overengineering, and underengineering detection.
Creates detailed implementation plan from validated research. Produces task breakdown with dependencies.
Security-focused audit that can run in background during implementation. Checks for vulnerabilities, auth issues, data exposure. Injects P0 findings to main agent.
Executes implementation plan with quality checks and progress tracking. Follows AGENTS.md patterns strictly.
Performance-focused audit that can run in background during implementation. Checks for inefficiencies, memory leaks, widget rebuilds. Injects P0 findings to main agent.
Code reviewer focusing on correctness, regressions, security, and test coverage - P0/P1/P2 severity
Validates research/plan/code against overengineering, underengineering, and hallucination
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。