Run One Canonical SDLC Stage (intake → Shape → Slice → Plan

About this skill

Run one canonical SDLC stage (intake → shape → slice → plan → implement → verify → review → handoff → ship → retro) or a perf/observability augmentation (instrument, experiment, benchmark, profile), and write its artifact to .ai/workflows/ /. For navigating existing workflows, use /wf-meta; for compressed or standalone flows, use /wf-quick.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 7e2cdea03ffec65fc0b5de7559099e27e8913be6c6d247743daff5e922233b2e

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Original listing metadata

Original name

wf

Original description

Run one canonical SDLC stage (intake → shape → slice → plan → implement → verify → review → handoff → ship → retro) or a perf/observability augmentation (instrument, experiment, benchmark, profile), and write its artifact to `.ai/workflows/<slug>/`. For navigating existing workflows, use `/wf-meta`; for compressed or standalone flows, use `/wf-quick`.

About this listing

Category: Science & research
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.