AI & ML

valec3 Skill

API versioning strategies, backward compatibility.

valec3 Skill

Strict types, type declarations, and static analysis for type-safe PHP code.

valec3 Bundle

Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.

valec3 Skill

MVC pattern in CodeIgniter, separation of concerns.

anntnzrb Bundle

Use when n8n workflows must be inspected or operated through the bundled REST CLI or targeted MCP tools.

elevanaltd-hestai-mcp Skill

Root Cause, Corrective Action, and Future Proofing - incident management protocol for multi-agent AI systems. Triggers on incidents, system failures, constraint violations, LLM overreach, or post-mortem analysis.

elevanaltd-hestai-mcp Skill

Reference for valid GitHub labels in HestAI-MCP repository to prevent label errors

catlog22 Bundle

Full lifecycle team skill with clean architecture. SKILL.md is a universal router — all roles read it. Beat model is coordinator-only. Structure is roles/ + specs/ + templates/. Triggers on "team lifecycle v4".

catlog22 Bundle

Multi-agent parallel development cycle with requirement analysis, exploration planning, code development, and validation. Orchestration runs inline in main flow (no separate orchestrator agent). Supports continuous iteration with markdown progress documentation. Triggers on "parallel-dev-cycle".

catlog22 Bundle

Unified team skill for motion design. Animation token systems, scroll choreography, GPU-accelerated transforms, reduced-motion fallback. Uses team-worker agent architecture. Triggers on "team motion design", "animation system".

catlog22 Bundle

Deep collaborative analysis team skill. All roles route via this SKILL.md. Beat model is coordinator-only (monitor.md). Structure is roles/ + specs/. Triggers on "team ultra-analyze", "team analyze".

scdenney Bundle

Run one consequential, contestable decision through a deliberative committee of GPT-6 Astra and Claude Opus 5, chaired by fable (default), astra, opus, or sol. Not for factual lookups, brainstorming, routine implementation, independent-coder reliability, or final professional judgment. Use when several options are defensible and the two model families should propose, critique, revise, and cross-rank under a predeclared rubric.

scdenney Bundle

Run a pre-submission manuscript audit covering argument, numerics, references, writing, figures, methods, preregistration, and replication readiness. Add --codex for a cross-model pass in which Codex and Claude review independently and verify each other's findings.

anntnzrb Bundle

Use when MCP servers must be discovered, authenticated, inspected, configured, or called through MCPorter.

catlog22 Skill

Interactive brainstorming with documented thought evolution, multi-perspective analysis, and iterative refinement. Serial execution with no agent delegation.

coowoolf Skill

Use when designing AI agents or chatbots, when raw model outputs feel like a black box, or when building natural language interfaces that need structure and trust

coowoolf Skill

Diagnose team problems by checking structural issues (goals/roles) at the surface before diving deep into personality conflicts. 80% of team problems are structural, not personal.

coowoolf Skill

Use when designing AI agent products, defining roadmaps for agentic workflows, or evaluating how to evolve AI from passive tool to proactive partner in software development

coowoolf Skill

Use when AI agents frequently hit dead ends, when reliability is the main constraint on scaling utility, or when general model improvements don't solve specific blockers

anntnzrb Bundle

Use when the user asks to discover or compare official Vals benchmarks, model scores, cost, latency, or uncertainty.

scdenney Bundle

Reviews an existing conjoint study for threats to inference and returns prioritized findings across five areas — design integrity (attributes, profile restrictions, task count and satisficing, randomization, power), estimation (estimand clarity, reference levels, subgroups, clustered standard errors, multiple testing), measurement error, external validity and behavioral benchmarking, and interpretation, including the guard-rail against reading an AMCE as a majority preference. Use when the user asks whether a conjoint design or analysis holds up, has referee comments on a conjoint, or wants a second opinion on estimation and interpretation choices. Building a design from scratch goes to conjoint-design, reshaping the data to conjoint-cleaning.

scdenney Bundle

Reads a model's own uncertainty off its token log-probabilities — collecting logprobs and aggregating multi-token labels, confidence tiers and margins for triage, calibration assessment with ECE, Brier scores, and reliability diagrams, using confidence downstream without laundering it into evidence, and what to archive for reproducibility. Use when the user asks how confident a classifier was on each item, asks about logprobs, top-k tokens, calibration, ECE, Brier, or reliability diagrams, or wants low-confidence cases routed to human review. This is within-model confidence — agreement across several independent model coders goes to model-council-voting, and codebook and validation design to text-classification.

scdenney Bundle

Writes a pre-analysis plan before data collection — registry selection (OSF, AsPredicted, AEA, EGAP), PAP document structure, an analytical strategy specified down to the model and the decision rule, analysis code pre-registered against simulated data, contingency planning for attrition, failed manipulations, and exclusions, deviation documentation, and timeline. Operationalizes the pre-data-collection side of DA-RT. Use when the user asks to write or review a pre-registration or PAP, asks which registry to use, asks what to lock down versus leave exploratory, or asks how to handle a deviation later. Hypotheses and estimands come from hypothesis-building, post-hoc reporting from methods-reporting.

coowoolf Skill

Shift from rigid roles (PM, Designer, Engineer) towards a model where individuals use AI to bridge skill gaps, enabling smaller and flatter teams. Use in early-stage startups or innovation units where speed is critical.

coowoolf Skill

Use when building AI-powered products or agents, when raw model intelligence isn't enough to solve user problems, or when designing the architecture for agentic workflows

cercova-studios Skill

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

coowoolf Skill

A goal-setting mental model where leaders increase the target by 10x to force teams to abandon current processes and use first-principles thinking. Use during annual planning when teams default to safe, incremental work.

coowoolf Skill

When firing someone, separate the business decision from humane implementation. Act as their talent agent—actively use your network to help them find their next role.

cercova-studios Bundle

Expert guidance for creating, writing, building, and refining agent skills. Use when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best practices.

cercova-studios Skill

Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

lerianstudio Skill

Fixing lint to a clean state: runs the linter, groups reported issues into independent streams, and dispatches one parallel fixer agent per stream (ring:backend-go for Go, ring:general-purpose otherwise), iterating until clean. Use when a codebase has lint errors across multiple files. Skip for a single error (fix directly), already-passing lint, or view-only requests; security lints are reported, not auto-fixed.

zjunlp Bundle

Use when the agent must collect and track multiple instances of the same object type in ALFWorld (e.g., "put two cellphone in bed"). This skill maintains a count of collected versus needed objects, guides systematic searching through receptacles, and ensures each found object is placed at the target before searching for the next.

zjunlp Bundle

Plans and executes movement to a target receptacle within the ALFWorld environment. Use when the agent needs to reach a specific location before interacting with objects there (e.g., go to fridge to cool an item, go to garbagecan to dispose of an item). Takes a receptacle identifier as input, executes the `go to` action, and outputs confirmation of arrival at the destination.

zjunlp Bundle

Picks up a specified object from the environment and moves it into the agent's inventory. Use this skill when you identify a required tool or material (e.g., thermometer, metal pot) that needs to be collected for later use in an experiment or task. Takes an object name as input and confirms the item's transfer to inventory.

zjunlp Skill

Use when the agent needs to direct attention to a specific object in the environment or inventory before performing a critical action such as measuring, using, or connecting. This preparatory "focus on" step signals intent to the ScienceWorld system, often unlocking required state changes for subsequent interactive steps in experimental procedures.

zjunlp Bundle

This skill introduces deliberate pauses in task execution. Use when the agent needs to consider next steps, evaluate intermediate results, or wait for processes to complete. The skill uses the 'wait1' or 'wait' actions to temporarily halt activity, preventing rushed decisions in complex experimental procedures.