pilotspace

Generate a sprint retrospective with KPI dashboard and action decision records

Generate a risk register PM block with probability, impact, and mitigation strategies

Generate downloadable Markdown or HTML files (reports, summaries, styled docs)

Conversational skill creator — build, test, and refine skills in chat

Generate a lightweight Architecture Decision Record as a Decision block

Creates a structured note from a homepage chat conversation

Break down issue into subtasks with dependencies using AI planning

Enhance issue with AI-suggested labels, priority, and acceptance criteria

ADD (AI-Driven Development) — a minimal, state-tracked workflow for building software where the AI writes the code and the human owns direction and verification. Drives every feature through one lean TASK.md: Specify → Scenarios → Contract → Tests → Build → Verify → Observe, with red/green TDD built in. Use this skill whenever working in a repo that has a `.add/` directory, when the user says "add", "start a task", "next phase", "specify this feature", "ADD method", or "AI-driven development", or when scaffolding a new feature and you want spec/tests-first discipline instead of vague-prompt coding. Also use it to resume work across sessions (it reads `.add/state.json` so you never re-read the whole repo).

Scaffold a new Redis command implementation with dispatch entry, handler, ACL, tests, and consistency test entry. Args: COMMAND_NAME [category].

Scan hot-path code for allocation violations, lock misuse, and performance anti-patterns. Zero-tolerance audit.

Scaffold a new CUDA kernel with Rust integration via cudarc. Args: kernel_name [f32|f16]. Creates .cu kernel, Rust wrapper, CPU fallback, and benchmark.

Verify code compiles and tests pass under both runtime-tokio and runtime-monoio feature sets. Run before committing runtime-adjacent changes.

Benchmark GPU-accelerated operations (vector distance, batch computation) against CPU baselines. Requires CUDA toolkit. Args: vector|distance|batch|all.

Verify moon command behavior matches Redis exactly. Args: command name(s) or --category <name>. Uses redis-cli against both servers.

Benchmark SIMD vs scalar paths in dashtable probing, vector distance, and protocol parsing. Args: dashtable|distance|parse|all.

ADD (AI-Driven Development) — a minimal, state-tracked workflow: the AI writes the code, the human owns direction and verification. Drives every feature through one lean PLAN.md: Specify → Plan → Tests & Scenarios → Build → Verify → Observe, red/green TDD built in. Use whenever a repo has `.add/`, or the user says "add", "start a task", "next phase", "specify this feature", "ADD method", "AI-driven development", or wants spec/tests-first discipline over vague-prompt coding. Also resumes work across sessions via `.add/state.json` (never re-read the whole repo).

Author or improve an ADD-method persona file (a .add/personas/ slug.md) — the project-fit requirements LENS the ADD engine validates and the design/build/verify/advisor surfaces load. Use when adding a domain expert to the ADD roster, when the add-worker persona mode must DRAFT a persona because none fits the task kind, or when folding a retrospective into an existing persona. Produces a schema-valid persona (Identity, Critical Rules, Default Requirement, Success Metrics, plus recommended frontmatter and Abilities/Anti-patterns/Playbook) that carries the judgment layer of strong agent design: earned-perspective identity, bold-lead rules, the qualification gate, read-before-you-assert, failure-mode-aware metrics, defended budgets, and per-flow stances. Seeds a first draft from the teacher library or a sample subagent when a near-fit source exists, instead of a blank page.