Product & Planning

tonone-ai Skill

Design and run OKR program — company objectives, team key results, cascade design, and quarterly review cadence. Use when asked to "design our OKRs", "are our OKRs good", "cascade goals to teams", or "run a quarterly OKR review".

tonone-ai Skill

Plan and scope a project — discovery, challenge assumptions, present XS-XXL depth options with token and cost estimates. Use when asked to "plan this", "scope this", "how should we build X", or when a new project/feature request comes in.

tonone-ai Skill

Use when asked to build a product roadmap, prioritize a backlog, decide what to build next, or sequence a list of feature ideas. Examples: "what should we build next", "prioritize this backlog", "make a roadmap", "RICE score these features".

tonone-ai Skill

OKR design — create objectives and key results with a North Star metric, input metrics tree, and cadence. Use when asked to "set OKRs", "define our objectives", "what should we measure this quarter", "design our OKR framework", "build a metrics tree", or "what's our North Star".

tonone-ai Skill

Operations reconnaissance — audit process documentation, vendor contracts, compliance posture, OKR health, and cross-functional friction points to understand where operations is the bottleneck. Use when asked to "audit our operations", "where are we slow", "what processes are broken", or "before designing a compliance program".

tonone-ai Bundle

Contribute a session learning back to the upstream tonone repo. Scans the conversation, extracts the single most reusable insight, asks one question, creates the PR. Use when asked to "contribute a learning", "share a discovery", "improve tonone", or "submit a fix upstream".

jmagly-ai-writing-guide Skill

AUTO-INVOKE when user mentions ops, runbook, inventory, audit trail, ops repo, sysops, devops, itops, infrastructure operations, fleet management. Ops framework quick reference — capability domains, extension model, and discovery phrases for runbooks, inventory, audit trail, verification.

jmagly-ai-writing-guide Skill

AUTO-INVOKE when user mentions SDLC, requirements, architecture, ADR, use case, user story, test plan, phase gate, inception, elaboration, construction, transition, intake, deploy. SDLC framework quick reference — phase model, capability domains, and curated discovery phrases for aiwg discover.

jmagly-ai-writing-guide Skill

Orchestrate Discovery Track flow to prepare validated requirements and designs one iteration ahead of delivery

jmagly-ai-writing-guide Skill

AUTO-INVOKE when user mentions research, paper, citation, GRADE, corpus, provenance, literature review, induct paper, induct media, video/audio research, timestamp citations, evidence, bibliography. Research framework quick reference — discovery phrases for corpus inception, paper and media acquisition, GRADE quality, citation graphs, provenance-tracked synthesis.

jmagly-ai-writing-guide Skill

AUTO-INVOKE when user mentions media curation, discography, archive, music collection, video/audio collection, source acquisition, metadata tagging, transcript, Plex, Jellyfin, MPD. Media-curator framework quick reference — discovery phrases for collection assessment, source discovery, acquisition, transcription, quality filtering, metadata, archive integrity, and research handoff.

jmagly-ai-writing-guide Skill

AUTO-INVOKE when user mentions forensics, incident response, IOC, log analysis, evidence preservation, breach investigation, threat hunting, attack timeline. Forensics framework quick reference — discovery phrases for incident response, log analysis, evidence preservation, IOC extraction.

jmagly-ai-writing-guide Skill

AUTO-INVOKE when user mentions knowledge base, wiki, KB, semantic memory, llm-wiki, knowledge ingest, document corpus. Knowledge-base framework quick reference — discovery phrases for KB ingest/health, semantic-memory kernel skills, llm-wiki profiles.

jmagly-ai-writing-guide Skill

AUTO-INVOKE when user mentions marketing, campaign, brand, content production, audience persona, copy, social media, marketing intake, approval workflow. Marketing framework quick reference — discovery phrases for campaign intake, brand compliance, content production, audience synthesis, approval workflows.

tonone-ai Skill

Build or audit compliance program — SOC2, GDPR, HIPAA, or ISO 27001 readiness assessment, gap analysis, and remediation roadmap. Use when asked to "do we need SOC2", "are we GDPR compliant", "what does our compliance program need", or "build a security policy".

tonone-ai Skill

Design a zero trust architecture — phased roadmap, identity pillar, and network segmentation. Use when asked to "design a zero trust architecture", "build a zero trust roadmap", or "plan network microsegmentation".

tonone-ai Skill

Strategic context reconnaissance — read existing roadmaps, OKRs, competitive docs, and briefs to establish context before planning. Use when asked to "understand our strategy", "what's the current roadmap", "what OKRs do we have", "strategic context", or before starting any prioritization or roadmap work.

tonone-ai Skill

Infrastructure reconnaissance — inventory all cloud resources, map connections, flag risks. Use when asked to "inventory our infra", "what infrastructure do we have", "map our cloud resources", "infra discovery", or "what's running in our cloud".

bbgnsurftech Skill

This skill generates comprehensive test reports with coverage metrics, trends, and stakeholder-friendly formats (HTML, PDF, JSON). It aggregates test results from various frameworks, calculates key metrics (coverage, pass rate, duration), and performs trend analysis. Use this skill when the user requests a test report, coverage analysis, failure analysis, or historical comparisons of test runs. Trigger terms include "test report", "coverage report", "testing trends", "failure analysis", and "historical test data".

bbgnsurftech Skill

This skill enables Claude to analyze capacity requirements and plan for future growth. It uses the capacity-planning-analyzer plugin to assess current utilization, forecast growth trends, and recommend scaling strategies. Use this skill when the user asks to "analyze capacity", "plan for growth", "forecast infrastructure needs", or requests a "capacity roadmap". It is also useful when the user mentions specific capacity metrics like CPU usage, memory, database storage, network bandwidth, or connection pool saturation. This skill is ideal for proactive infrastructure planning and preventing performance bottlenecks.

frank-luongt Skill

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frank-luongt Skill

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frank-luongt Skill

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lord1egypt Skill

Reference guidance for finding MCP connectors during plugin customization, using search and suggestion tools, mapping categories to keywords, and writing .mcp.json entries

rudironsoni Skill

Discovers available MCP servers from registries and validates compatibility. Auto-discovers MCP servers from official registries, community sources, and local definitions. Triggers on: mcp discovery, find mcp servers, discover mcp, mcp registry, mcp catalog.

lord1egypt Bundle

Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.

lord1egypt Bundle

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

lord1egypt Bundle

PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.

lord1egypt Bundle

Use when the user is doing AI/ML work in a scientific domain — biology, chemistry, physics, astronomy, climate, genomics, materials science, medicine, ecology, energy, conservation, engineering, mathematics, scientific reasoning, drug discovery, protein design, weather modeling, theorem proving, single-cell, PDE solving, or anything similar. Hugging Science (huggingscience.co) is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces; the `hugging-science` org on Hugging Face hosts community datasets, models, and demo Spaces. This skill helps you discover the right resource AND actually use it — loading datasets via `datasets`, running models via `transformers` or the HF Inference API, calling Spaces like BoltzGen via `gradio_client`, and citing blog posts for methodology. Trigger this skill whenever a user mentions a scientific ML task, asks for "a dataset/model for X" where X is a scientific topic, wants to fine-tune on scientific data, asks about protein / molecule / genome /

rudironsoni Skill

Orchestrates .NET Aspire apps. AppHost, service discovery, components, dashboard, health checks.

rudironsoni Skill

Orchestrates .NET Aspire apps. AppHost, service discovery, components, dashboard, health checks.

lord1egypt Bundle

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

rudironsoni Skill

Orchestrates .NET Aspire apps. AppHost, service discovery, components, dashboard, health checks.

rudironsoni Skill

Complete guide for TUnit new-generation testing framework. Use when creating test projects with TUnit or migrating from xUnit to TUnit. Covers Source Generator driven test discovery, AOT compilation support, fluent async assertions. Includes project creation, [Test] attribute, lifecycle management, parallel control, and xUnit syntax comparison. Keywords: TUnit, tunit testing, source generator testing, AOT testing, new generation testing framework, [Test], [Arguments], TUnit.Assertions, Assert.That, Before(Test), After(Test), NotInParallel, TUnit.Templates, Microsoft.Testing.Platform, TUnit vs xUnit, parallel execution

holobiomicslab Skill

Use when you have raw GCxGC-MS data in NetCDF format that contains instrumental and chemical noise (baseline drift, high-frequency signal artifacts) and you need to prepare multiple preprocessed chromatogram objects for downstream multiway PCA or biomarker discovery.

holobiomicslab Skill

Use when when you have preprocessed mass spectral data (normalized peak intensities or binned m/z representations) and need to discover latent spectral patterns to enhance neural network predictors without labeled spectral classes.