Plan
- 118 installs
- 41 repo stars
- Updated August 4, 2026
- gracefullight/stock-checker
Define stock-checker milestones, feature boundaries, and acceptance criteria before build—stores to support, alert rules, and MVP vs later scope.
About
plan from gracefullight/stock-checker is a validate-phase scoping skill for stock-monitoring products. It helps agents structure milestones, define MVP boundaries for inventory checks and alerts, and align build order across ecommerce integrations before coding begins.
- Milestone breakdown
- MVP scope boundaries
- Acceptance criteria
- Store-integration priorities
- Risk and dependency mapping
Plan by the numbers
- 118 all-time installs (skills.sh)
- Ranked #1,296 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/gracefullight/stock-checker --skill planAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 118 |
|---|---|
| repo stars | ★ 41 |
| Last updated | August 4, 2026 |
| Repository | gracefullight/stock-checker ↗ |
What it does
Define stock-checker milestones, feature boundaries, and acceptance criteria before build—stores to support, alert rules, and MVP vs later scope.
Files
/plan
Read and follow .agents/workflows/plan.md step by step.
Related skills
Grill MeHave an agent relentlessly pressure-test their plan or design until every decision branch is resolved and shared understanding is reached.691k196kGrill With DocsPressure-test architecture decisions against their live codebase and living documentation before writing production code.585k196k
Lark CalendarLet their coding agents read, create, and manage events inside Lark (Feishu) Calendar directly from natural language instructions.493kLark ImLet their coding agent send instant notifications, post updates, and receive commands directly inside Lark (Feishu) workspaces.493kLark ContactLet their AI coding agents read and write contacts, send messages, and manage user data inside Lark (Feishu).493kLark AttendanceAutomatically fetch and report daily attendance data from Lark (Feishu) into their own tools or agents.493k