Product & Planning

mohitagw15856 Skill

Monitor competitor signals and surface strategic implications for your roadmap. Use when asked to monitor competitors, track the competitive landscape, produce a competitive briefing, or understand what has changed in the market this week or month. Produces a structured intelligence brief with high/medium/low priority signals, roadmap implications, and a strategic landscape summary. For a single competitor announcement use competitor-signal-tracker; for a one-off deep dive use competitor-teardown.

tinyhumansai Skill

Prepare a discovery call with the questions and hypotheses that qualify a deal fast.

tinyhumansai Skill

Plan and run a stakeholder interview, then synthesize it into decision-ready findings.

tinyhumansai Skill

Sort a document set for relevance and privilege and produce a defensible review log.

jamie-bitflight Skill

Verify claims in backlog items, skill documentation, or plugin content against primary sources. Spawns parallel @dh:fact-checker agents using mcp__Ref, mcp__exa, mcp__context7 as primary tools — training data recall is rejected as evidence. WebFetch/WebSearch are last-resort fallbacks. Produces VERIFIED/REFUTED/INCONCLUSIVE verdicts with citations. Triggers on "fact check", "verify claims", "check against primary sources", or when backlog items are marked UNVERIFIED.

tinyhumansai Skill

Turn ready work into themes, bets, and a defended sequence.

tinyhumansai Skill

Dedupe, split, age out, and ready the backlog so the order at the top means something.

jamie-bitflight Skill

Use when assigning backlog items to a GitHub milestone. Args: {milestone-number} [P0|P1|P2|title-filter]. Uses backlog list to load items, shows items with GitHub Issue status, lets user select which to assign. Creates missing GitHub Issues for selected P0/P1 items, assigns all to the milestone, updates Project V2 Status to Backlog. Use after create-milestone to populate a sprint or release.

stanfish06 Bundle

Use for authorized OT/ICS security assessment covering Purdue model zoning, PLC/SCADA exposure, industrial protocol discovery, and safe passive-first evaluation.

ai-analyst-lab Skill

Takes a vague analytical hunch, stakeholder request, or business question and produces a rigorous, stakeholder-ready analysis plan through a multi-stage pipeline. Use this skill whenever someone says "I think X caused Y", "help me investigate...", "design an analysis for...", "can you look into why...", "we need to figure out what's driving...", or presents any analytical question that needs methodological rigor before execution. This skill is essential when a PM has a hunch but no plan, when an analysis needs redesign after stakeholder feedback, or before starting any major investigation to prevent wasted work. The skill orchestrates hypothesis sharpening → confound scanning → investigation planning → V1 execution → feedback synthesis → V2 redesign. Apply this whenever the user is moving from vague intuition to structured investigation, when they're about to dive into data without a clear plan, when they need to validate an analytical approach before running queries, or when they're iterating on findings aft

stanfish06 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.

ai-analyst-lab Skill

Adapt analytical findings to the audience — same insight, different framing, detail level, and format depending on who will read it. Use this skill whenever producing a narrative, creating a deck, writing an executive summary, drafting a report, generating stakeholder communications, or whenever the user mentions an audience (executive, PM, engineer, data scientist, leadership team, stakeholders, decision-makers). Apply when users say things like "prepare this for leadership", "write this for the product team", "explain this to engineering", "create a deck for the VP", "draft a summary for stakeholders", "make this executive-friendly", "adapt this for data scientists", "what should I tell the CEO", "how do I present this", "tailor this for the audience", or any request involving communication, presentation, reporting, or sharing findings with others. Always apply when the Storytelling agent runs, when the Deck Creator agent runs, when drafting communications, when exporting results, or when the output will be

stanfish06 Bundle

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

stanfish06 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.

stanfish06 Bundle

Use for authorized security assessment of REST, GraphQL, WebSocket, or SOAP APIs, including discovery, authentication, authorization, rate-limit, and CI/CD testing.

stanfish06 Bundle

AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.

stanfish06 Bundle

Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources via `datasets`, `transformers`, the HF Inference API, `gradio_client`, and methodology citations.

stanfish06 Bundle

Build MATLAB apps from requirements to working code. Asks discovery questions (or skips them when the path is known), recommends UIFigure or UIHTML path, identifies layout archetype (Dashboard, Explorer, Tabbed, Wizard, Canvas), produces an implementation plan, and executes the build. Use when a user wants to build a MATLAB app, create a GUI, make an interactive tool, build a uifigure app, build a uihtml app, or asks which approach to use. Also use when user describes spatial layout needs: dashboard, control panel, sidebar, tabs, wizard, stepper, canvas, workspace.

stanfish06 Bundle

Expert-thinking profile for Systems Engineer (requirements / architecture / integration / V&V / MBSE): Reasons from stakeholder needs, ISO/IEC/IEEE 15288 life- cycle processes, and V-model verification/validation through bidirectional requirements trace (DOORS/Polarion), MBSE SysML digital threads, ICD interface control, DSM integration sequencing, MCDA trade studies, and FMEA/FTA/STPA risk—while treating scope creep...

stanfish06 Bundle

Expert-thinking profile for Pharmacologist (wet-lab / in vitro pharmacology / drug discovery): Reasons from receptor occupancy, Black–Leff τ, EC50/IC50/Kd/Ki distinctions, Schild/Cheng–Prusoff antagonism, allosteric PAM/NAM cooperativity, GPCR bias, and PK/PD linkage; interprets binding/functional/HTS via GtoPdb/ChEMBL while treating spare receptors, radioligand depletion, and assay autofluorescence as...

stanfish06 Bundle

Use when the user supplies or imports existing security findings, vulnerability reports, or security/vulnerability Jira/Linear tickets from scanners, advisories, GitHub, Atlassian Rovo, Linear, or similar backlog sources and wants static repo-impact triage. Do not use for discovery, duplicate-bug triage, validation, or fixes.

stanfish06 Bundle

Use when Codex is already in the finding-discovery phase of a security scan or the user explicitly asks to discover candidate security findings in a repository or code change. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.

stanfish06 Bundle

Expert-thinking profile for Chemical Biologist (wet-lab / chemoproteomics / probe discovery & target validation): Reasons from chemical genetics, ABPP/TPP/CETSA chemoproteomics, and SGC/Portal probe criteria; deconvolves phenotypic hits with PAINS/aggregator triage, inactive analogs, and genetic epistasis while treating colloidal aggregation, probe promiscuity, and degrader DC50/Dmax tag artifacts as first-class failure modes.

stanfish06 Bundle

Use when the user asks for a deep, exhaustive, multi-pass, or variance-reducing repository-wide or scoped-path Codex Security scan. Run repeated independent discovery passes over one resolved scope with worker-specific threat models, semantically merge candidates, synthesize one canonical validation threat model, then run validation, attack-path analysis, canonical JSON completion, and generated reporting once. Do not use for PRs, commits, branch diffs, or working-tree diffs.

stanfish06 Bundle

Local Scanpy pipeline for single-cell RNA-seq QC, optional doublet detection, clustering, marker discovery, optional CellTypist annotation, optional latent downstream mode from integrated.h5ad/X_scvi, and optional dataset-level plus within-cluster contrastive marker analysis from raw-count .h5ad or 10x Matrix Market input.

stanfish06 Skill

Compares two or more dotnet new templates side by side to help users choose between them based on parameters, feature support, frameworks, and classifications. USE FOR: deciding between similar templates (webapi vs webapp, blazor vs blazorwasm, console vs worker), producing a side-by-side comparison of parameters and feature support, understanding how templates differ before creating a project. DO NOT USE FOR: creating a project from a template (use template-instantiation), authoring or validating custom templates (use template-authoring and template-validation), general single-template discovery (use template-discovery).

stanfish06 Skill

Validates custom dotnet new templates for correctness before publishing. Catches missing fields, parameter bugs, shortName conflicts, constraint issues, and common authoring mistakes that cause templates to fail silently. USE FOR: checking template.json files for errors before publishing or testing, diagnosing why a template doesn't appear after installation, reviewing template parameter definitions for type mismatches and missing defaults, finding shortName conflicts with dotnet CLI commands, validating post-action and constraint configuration. DO NOT USE FOR: finding or using existing templates (use template-discovery), creating projects from templates (use template-instantiation), creating templates from existing projects (use template-authoring).

stanfish06 Skill

Guides creation and validation of custom dotnet new templates from existing projects. Generates a .template.config/template.json that preserves the source project's conventions. USE FOR: creating a reusable dotnet new template from an existing project, bootstrapping .template.config/template.json with correct identity, shortName, parameters, and post-actions, adding parameters or conditional content to a template you are authoring, validating the template.json you are authoring before publishing, packaging templates as NuGet packages for distribution. DO NOT USE FOR: validating an existing template.json as a standalone task (use template-validation), finding or using existing templates (use template-discovery and template-instantiation), MSBuild project file issues unrelated to template authoring, NuGet package publishing (only template packaging structure).

stanfish06 Skill

Helps find, inspect, and compare (at a high level) .NET project templates. Resolves natural-language project descriptions to ranked template matches with pre-filled parameters. USE FOR: finding the right dotnet new template for a task, inspecting a template's parameters and constraints, understanding what a template produces before creating a project, resolving intent like "web API with auth" to concrete template + parameters. DO NOT USE FOR: actually creating projects (use template-instantiation), authoring custom templates (use template-authoring), producing a detailed side-by-side comparison (use template-comparison), choosing cross-parameter defaults during creation (use template-smart-defaults), MSBuild or build issues (use dotnet-msbuild plugin), NuGet package management unrelated to template packages.

stanfish06 Bundle

Implement and troubleshoot the MCP Skills extension (io.modelcontextprotocol/skills). Use when serving Agent Skills from an MCP server, adding skill discovery and verified loading to a host, or debugging skills/list, skills/get, and skill resource retrieval.

stanfish06 Bundle

Expert-thinking profile for Experimental Physicist (laboratory / apparatus / precision measurement): Reasons from GUM error budgets, traceable calibration chains, and multiplied signal-chain transfer functions — separating Type A and Type B uncertainty, null runs, and ELN-linked reproducibility before precision or discovery claims.

stanfish06 Bundle

Integration with protocols.io API for managing scientific protocols. Use 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.

stanfish06 Skill

Applies cross-parameter default rules when creating .NET projects with dotnet new, filling gaps consistently without overriding values the user set explicitly. USE FOR: choosing which target framework to pair with native AOT, deciding whether to keep HTTPS when authentication is enabled, recognizing that controllers and minimal-API flags are mutually exclusive, filling unset related parameters during project creation, explaining why a default was applied and ensuring an explicit user value is never overridden. DO NOT USE FOR: creating the project itself (use template-instantiation), finding or comparing templates (use template-discovery and template-comparison), authoring or validating custom templates (use template-authoring and template-validation).

stanfish06 Skill

Creates .NET projects from templates with validated parameters, smart defaults, Central Package Management adaptation, and latest NuGet version resolution. USE FOR: creating new dotnet projects, scaffolding solutions with multiple projects, installing or uninstalling template packages, creating projects that respect Directory.Packages.props (CPM), composing multi-project solutions (API + tests + library), getting latest NuGet package versions in newly created projects. DO NOT USE FOR: finding templates (use template-discovery), producing a detailed side-by-side comparison of templates (use template-comparison), authoring custom templates (use template-authoring), deciding cross-parameter defaults such as which framework to pair with native AOT or whether to keep HTTPS when auth is enabled (use template-smart-defaults), modifying existing projects or adding NuGet packages to existing projects.

stanfish06 Bundle

Expert-thinking profile for Natural Products Chemist (wet-lab / isolation & structure elucidation / metabolomics-guided discovery): Reasons from dereplication (GNPS FBMN, NPAtlas, SNAP-MS, COCONUT), bioassay-guided and MS-triggered isolation, NMR/HRMS structure tiers (DP4+/DU8+), antiSMASH/MIBiG BGC linkage, and PAINS/IMP assay interference while treating HMBC ambiguity, stereochemical misassignment, and aggregator false positives as first-class...

stanfish06 Bundle

Expert-thinking profile for Superconductivity Scientist (experimental / computational / materials discovery & applied conductors): Reasons from BCS/Eliashberg/GL order parameters, pairing symmetry, and vortex physics; validates Tc with Meissner/χ/C triads, phase-sensitive Josephson tests, ARPES/STM gaps, and EPW; uses SuperCon/3DSC and IEC 61788 Ic standards while treating filamentary transitions, pseudogap misreads, DAC flux trapping, and HTS...