chain-spec-risk-metrics
π―Skillfrom lyndonkl/claude
Generates comprehensive initiative plans by systematically defining specifications, identifying risks, and establishing measurable success criteria for high-stakes projects.
Part of
lyndonkl/claude(72 items)
Installation
/plugin marketplace add lyndonkl/claude/plugin install thinking-frameworks-skillsgit clone https://github.com/lyndonkl/claude.gitSkill Details
Use when planning high-stakes initiatives (migrations, launches, strategic changes) that require clear specifications, proactive risk identification (premortem/register), and measurable success criteria. Invoke when user mentions "plan this migration", "launch strategy", "implementation roadmap", "what could go wrong", "how do we measure success", or when high-impact decisions need comprehensive planning with risk mitigation and instrumentation.
More from this repository10
Guides researchers in crafting competitive NIH, NSF, and foundation grant proposals by providing strategic advice on hypothesis, significance, innovation, and approach sections.
Systematically reviews and enhances scientific manuscripts to improve clarity, structure, scientific rigor, and publication readiness across research articles and academic papers.
Agents, skills and anything else to use with claude
Generates creative options through systematic divergent-convergent thinking, transforming open-ended challenges into structured, high-quality solutions.
Crafts custom, interactive data visualizations using D3.js, enabling complex chart designs with low-level control over data-driven DOM manipulation.
Generates comprehensive Architecture Decision Records (ADRs) to document and track significant technical decisions with context, rationale, and consequences.
Crafts compelling, evidence-based academic recommendation letters by transforming concrete experiences into powerful advocacy narratives for students and colleagues.
Guides writers through structured feedback, editing suggestions, and writing improvement techniques across various genres and styles.
Guides learners through strategic questioning, helping them discover insights and build understanding by progressively revealing knowledge through targeted, scaffolded interactions.
Transforms unreliable prompts into structured, constraint-aware instructions that generate consistent, high-quality AI outputs with built-in safety checks.