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SkillsMP has collected 259 skills from curiositech/port-daddy. Open a skill to review its source and details.
curiositech/port-daddyShowing 19 of 259 collected skills.
Adversarial security review fleet for the Port Daddy whitepapers (Bonded Commons, Anchor Protocol). Use when a paper version is being prepared, when a coordination/cryptographic claim is being added, or when paired with the whitehat-defense skill in a…
Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback loops, and continuous improvement. Activate on "skill logging", "skill quality",…
You MUST use this skill when writing, running, or verifying TLA+ specifications for distributed systems, coordination protocols, or state machine designs. This skill is opinionated and prescriptive — it will push you toward bounded model checking with TLC,…
Apply the foundational taxonomy of workflow control patterns to evaluate, design, and debug complex coordination systems. Based on the seminal "Workflow Patterns" research establishing pattern-based expressiveness evaluation.
Architectural patterns for building agent systems that dynamically decompose complex tasks, generate specialized subagents just-in-time, and prevent cascading failures through adaptive replanning.
Defensive security and mechanization fleet for the Port Daddy whitepapers (Bonded Commons, Anchor Protocol). Use when responding to red-team findings in a versioned round, when closing a cited-but-unmodeled proof, or when proposing the next paper version…
Build WinDAGs — the orchestration platform where AI agents accumulate genuine expertise through DAGs of skillful agents. Covers DAG design, execution engines, meta-DAG architecture, skill selection, dynamic mutation, visualization, and deployment. Activate on…
Framework for building multi-agent conversation systems with customizable LLM-powered agents
Voice and copy guide for portdaddy.dev and Port Daddy marketing surfaces. Use when writing or editing any user-facing copy on website-v2: landing, docs, hero, CTAs, sidebar labels, page intros, ADR summaries, blog posts, email, social. NOT for internal docs…
Design and implement Swiss modern websites and product web apps using International Typographic Style: strict grids, typography-led hierarchy, asymmetrical composition, disciplined whitespace, restrained color, editorial clarity, and visual QA. Use for SaaS…
Design, audit, normalize, and structurally upgrade skills using current Claude Code runtime rules plus repo-local L1/L2/L3 doctrine. Use when creating a skill, repairing activation, choosing support files, hooks, subagents, or planning bulk skill upgrades.…
Predicts the highest-impact next action for your project by running a 5-agent meta-DAG pipeline. Gathers project signals automatically (git, recent files, port-daddy, CLAUDE.md), then runs sensemaker -> decomposer -> skill-selector + premortem -> synthesizer.…
Build ontology logs (ologs) from problem descriptions using categorical foundations. Use when designing problem taxonomies, classifying tasks for routing, building knowledge libraries, establishing formal analogies between domains via functor search, or…
Use operads to formally model hierarchical task decomposition for multi-agent systems. Covers typed composition, wiring diagrams, and the relationship to DAG-of-agents architectures. Grounded in Spivak's operad work (2013-2020) and Fong & Spivak 'An…
AST-based semantic conflict prediction for multi-agent coding environments. Uses tree-sitter to parse code into ASTs, extract symbol-level claims, build dependency graphs, and predict conflicts BEFORE they happen -- at work-assignment time, not merge time.…
Second agent in the WinDAGs meta-DAG. Receives a ProblemUnderstanding from the Sensemaker and produces a validated DecompositionResult -- a DAG with skill assignments, wave definitions, and commitment levels. Executes the three-pass protocol, enforces vague…
Failure pattern scanning and risk assessment for WinDAGs DAGs. Runs after decomposition but before execution. Performs a lightweight scan on EVERY DAG (BC-PLAN-004), escalating to deep analysis when recognition confidence is low or known failure patterns are…
First agent in the WinDAGs meta-DAG. Receives raw problem descriptions and produces a validated ProblemUnderstanding for downstream agents (Decomposer, PreMortem). Classifies problems, extracts principal parts, scores validity, and enforces the halt gate.…
State management, checkpoint architecture, and recovery strategy selection for WinDAGs V3 execution infrastructure. Teaches the validated state machine (transition matrix with fail-fast on illegal transitions), checkpoint-resume protocol (pluggable storage,…