planner-orchestration
SolidEnforce Kandev's single-session, user-controlled model workflow for feature, fix, debug, review, verification, and delivery work.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- kdlbs
- Repository
- kdlbs/kandev
- Created
- 6 months ago
- Last Updated
- today
- Language
- Go
- License
- AGPL-3.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
workflow-orchestrator
Take on a substantial, multi-step effort as a strategic orchestrator — intake the goal, research and plan it solo, execute it through parallel/sequential agent workflows, then personally verify the result end to end. Use this whenever the user wants to tackle something big or ambitious: a large feature, a cross-cutting refactor, a migration, a codebase-wide audit, a "do all of X / sync everything / overhaul Y" task, or any effort that won't fit in one pass and needs to be planned and orchestrated with rigor. Trigger when the user invokes it by name, says things like "orchestrate this / run a workflow / use subagents / plan and build this / take this on end to end," OR simply describes a meaty multi-part task and wants it done thoroughly and efficiently — even if they never say the words "workflow" or "orchestrate." Do NOT use it for small, single-step tasks that one pass handles directly.
orchestrate
Advance one planwright spec by one step: pick the next ready unit critical-path-first (or a cohesion bundle), run the freshness gate, record the dispatch under the per-spec lock, and dispatch /execute-task via the backend. A stateless, disposable control tower; a reconcile sweep rebuilds from disk. Never merges, marks a PR ready, or auto-chains into /spec-kickoff. --bookkeeping runs the drain + PR reconcile; --watch loops the step.
team-pl-orchestrator
PL/tech-lead orchestration workflow for feature development. Use when the user asks a lead agent to analyze or implement a feature by forming role agents, running structured debate, recording decisions in the user-selected memory backend (Obsidian vault or Notion), implementing code, running verification, and reporting results. Also use for requests mentioning PL agent, team agents, role agents, agent discussion, decision wiki, or end-to-end feature delivery.