Manage project scope, constraints, and success criteria with a decision ledger.
npx skills add https://github.com/jinyongp/dotfiles --skill planning-jinyongp
Please help me install this Agent Skill. Skill: planning Source: https://github.com/jinyongp/dotfiles/tree/main/agents/skills/planning Command: npx skills add https://github.com/jinyongp/dotfiles --skill planning-jinyongp
This skill resolves ambiguity and prevents project drift by enforcing a structured, evidence-based approach to planning, design, and complex implementation tasks.
Initiate a planning session by asking the agent to help define the scope and success criteria for your upcoming project task.
High-intent search queries and answers about installing and using this skill.
Structured project planning resolves ambiguity by enforcing evidence-based decision-making, managing scope, constraints, and success criteria for complex development tasks. It prevents project drift through rigorous trade-off analysis and validation.
Define success criteria for a complex refactor by initiating a planning session to scope the task, surface technical tradeoffs, and reconcile dependent decisions before writing any code. This ensures all constraints are validated.
Track technical decisions during ambiguous development tasks by maintaining a persistent decision ledger within the conversation. This records open decisions, constraints, and success criteria to enforce evidence-based recommendation standards.
Rigorous trade-off analysis is needed for non-trivial development tasks requiring scope management and constraint validation. It identifies avoidable complexity and security risks by validating assumptions before execution begins.
Guardrail enforcement prevents security risks during architecture planning by validating assumptions and identifying tradeoffs before execution. This structured approach avoids preventable complexity in ambiguous project workflows.
Structured decision-making protocols require strict adherence to explicit decision-tracking and evidence-based standards, making them less suitable for trivial tasks or rapid prototyping where lightweight architectural planning suffices.
dtsongTransform natural language project descriptions into structured engagement briefs.
svssdevaConvert ambiguous requirements into validated specifications before writing code.
shaul1991Scan project roots to generate lifecycle status dashboards with ALM governance.
whichguyRun disposable experiments to validate feasibility and compare approaches.
