Automates SDLC pipeline orchestration from issue creation to learnings capture with resumable progress and session logging.
npx skills add https://github.com/tomzx/agents --skill sdlc-tomzx
Please help me install this Agent Skill. Skill: sdlc Source: https://github.com/tomzx/agents/tree/main/skills/sdlc Command: npx skills add https://github.com/tomzx/agents --skill sdlc-tomzx
Coordinating and automating the entire Software Development Lifecycle pipeline—from issue creation through implementation, documentation, and learnings—so teams can reproduce consistent workflows with minimal manual overhead.
Run /sdlc with an optional phase name to start the full pipeline from issue to learnings.
High-intent search queries and answers about installing and using this skill.
Automating the SDLC pipeline is done by orchestrating phases from issue creation through requirements, planning, tests, and deployment. It sequences sub-skills end-to-end and supports backtracking when blockers arise to ensure consistent, reproducible workflows.
Running individual phases of the SDLC pipeline is supported through phase-level invocation. You can execute specific stages like planning or testing independently, while persistent progress management and session logging allow resuming work later.
Traceability in an automated development workflow is enforced through state transitions, backtracking rules, and session logging. Persistent artifact management captures outputs and learnings, enabling auditability and resumable work across pipeline executions.
Managing pipeline artifacts across sessions is handled by persistent progress management that logs state transitions and outputs. It automatically captures learnings at the end of the lifecycle, ensuring work remains resumable and auditable.
Orchestrating the SDLC pipeline requires no external dependencies or specific components. It operates as a standalone automation skill that sequences sub-skills and manages state transitions natively.
End-to-end SDLC orchestration may be excessive for isolated tasks or ad-hoc changes that do not require full traceability. If your workflow does not need state transitions, session logging, or artifact management, a lighter manual approach is more efficient.
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