dp-state-designer
Assist in designing optimal DP states and transitions
npx skills add a5c-ai/babysitter --skill dp-state-designer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# DP State Designer Skill ## Purpose Assist in designing optimal dynamic programming states, transitions, and optimizations for complex DP problems. ## Capabilities - Identify subproblem structure from problem description - Suggest state representations (dimensions, parameters) - Derive transition formulas - Identify optimization opportunities (rolling array, bitmask compression) - Generate state space complexity estimates - Detect overlapping subproblems ## Target Processes - dp-pattern-matching - dp-state-optimization - dp-transition-derivation - advanced-dp-techniques ## DP Design Framework 1. **Subproblem Identification**: What smaller problems compose the solution? 2. **State Definition**: What parameters uniquely identify a subproblem? 3. **Transition Formula**: How do we combine subproblem solutions? 4. **Base Cases**: What are the trivial subproblems? 5. **Computation Order**: In what order should we solve subproblems? 6. **Space Optimization**: Can we reduce memory usage? ## Input Schema ```json { "type": "object", "properties": { "problemDescription": { "type": "string" }, "constraints": { "type": "object" }, "examples": { "type": "array" }, "requestType": { "type": "stri
- Purpose
- Capabilities
- Target Processes
- DP Design Framework
- Input Schema
- Output Schema
What does the dp-state-designer skill do?
Assist in designing optimal DP states and transitions
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill dp-state-designer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.