Generate executable task plans with BDD acceptance criteria and boundaries.
npx skills add https://github.com/0ui-labs/GSD-CC --skill gsd-cc-plan
Please help me install this Agent Skill. Skill: gsd-cc-plan Source: https://github.com/0ui-labs/GSD-CC/tree/main/gsd-cc/skills/plan Command: npx skills add https://github.com/0ui-labs/GSD-CC --skill gsd-cc-plan
Plans a slice description into a set of executable task plans with explicit boundaries and BDD-style acceptance criteria, enabling deterministic execution and easier verification.
Describe a target slice to produce a ready-to-run plan for execution.
High-intent search queries and answers about installing and using this skill.
To generate task plans with BDD acceptance criteria, you provide a slice description to produce structured, executable tasks. This enforces explicit boundaries and state-aware planning for deterministic execution and easier verification.
Decomposing a software slice for automated execution involves structuring the description into traceable task plans. This process aligns with project state and CLAUDE templates to preserve context and feed subsequent execution loops.
Yes, state-aware task planning integrates directly with existing CLAUDE templates. This alignment preserves project context and ensures traceable outputs when converting slice descriptions into actionable workflows.
You feed a structured task plan into an automated execution loop by routing the slice to produce ready-to-run inputs. These generated plans serve as direct inputs for subsequent execution steps like auto-loop.sh.
State-machine based workflow planning requires explicit boundaries to ensure deterministic execution. Defining these boundaries alongside BDD-style acceptance criteria prevents scope creep and enables easier verification of each task.
dtsongTransform natural language project descriptions into structured engagement briefs.
0ui-labsExecute the next slice task with plan loading and git commits.
0ui-labsSummarize GSD-CC project status from STATE.md and slice files.
NNPopovClassify proposed features as new slices, extensions, or shared code.
