Product & Planning

markus41 Skill

Patterns from "Agentic Design Patterns" (Gulli & Sauco, 2025) applied to plugin marketplace architecture — federated registry, supply chain security, intent-based composition, and trust-scored plugin discovery.

markus41 Skill

Create a client proposal for a fixed-scope automation engagement with ROI projections, timeline, and investment summary. Use when converting a discovery call into a formal proposal document for an insurance, mortgage, or financial services prospect.

26zl Bundle

Analyze binary exploitation techniques including buffer overflows and ROP chains using pwntools Python library. Covers checksec analysis, gadget discovery with ROPgadget, and exploit development for CTF and authorized security assessments.

26zl Bundle

Discover and inventory all privileged accounts across enterprise infrastructure including domain admins, local admins, service accounts, database admins, cloud IAM roles, and application admin account

26zl Bundle

Indicator lifecycle management tracks IOCs from initial discovery through validation, enrichment, deployment, monitoring, and eventual retirement. This skill covers implementing systematic processes f

26zl Bundle

Monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance, discover subdomains via CT data, and alert on suspicious certificate activity for owned domains. Uses the crt.sh API and direct CT log querying based on RFC 6962 to build continuous monitoring pipelines that catch rogue certificates, track CA behavior, and map the external attack surface. Activates for requests involving certificate transparency monitoring, CT log auditing, subdomain discovery via certificates, or certificate issuance alerting.

26zl Bundle

Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents.

26zl Bundle

Perform comprehensive ICS/OT asset discovery using Claroty xDome platform, leveraging passive monitoring, Claroty Edge active queries, and integration ecosystem to gain full visibility into industrial control system assets including PLCs, RTUs, HMIs, and network infrastructure across Purdue Model levels.

eturkes Bundle

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

eturkes 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.

eturkes 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.

eturkes 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.

eturkes 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.

gastownhall Bundle

Create, update, or validate a PRD. Use when the user wants help producing, editing, or validating a PRD.

futurediffusion Skill

Explicitly save important knowledge to auto-memory with timestamp and context. Use when a discovery is too important to rely on auto-capture.

williamcorrea23 Bundle

Fix Control renderer issues that UI5 linter reports but cannot auto-fix. Use this skill when linter outputs these rules: - `no-deprecated-control-renderer-declaration` - For missing renderer declaration, string-based renderer declaration, implicit renderer auto-discovery (removed in modern UI5) - `no-deprecated-api` - For missing apiVersion:2 in renderer objects, missing IconPool import when using oRm.icon(), deprecated rerender() override. NOTE: For Library.init() apiVersion errors, use fix-library-init instead. - `ui5-class-declaration` - For non-static renderer property in ES6 classes Trigger on: "missing a renderer declaration", "Deprecated declaration of renderer", "deprecated renderer", "apiVersion" (in renderer context), "IconPool", "rerender", "renderer must be a static property" Converts legacy renderer patterns to modern apiVersion: 2 format with proper module imports.

williamcorrea23 Bundle

Use for SAP Transport Request pre-release gate review (QAS/PRD). Triggers on any TR number in input (pattern: uppercase letters + K + 6 digits, e.g., DEVK900123, ECDK943668). Asks user: code-quality-only or functional+code review. Performs 10-dimension risk review of ABAP/CDS/DDIC source, object list, dependencies, spec, and release evidence; detects evidence gaps; generates Release Readiness Report with GO / CONDITIONAL_GO / NO_GO / NEED_MORE_EVIDENCE. Also triggers for: "can this TR go to production", "release gate check", "audit TR before import", "transport risk assessment", "generate release readiness report". Do NOT use for: executing transports, SAP login, single ABAP file without TR context (use abap-code-review), or no transport artifacts.

williamcorrea23 Skill

M&A 并购主流程 — 整合尽调支持、估值分析、交易结构建议与整合追踪。 适用情形：M&A 项目全周期（意向/尽调/谈判/交割/整合）执行时启动， 整合 financial-due-diligence、dcf-modeling、comparable-analysis、valuation-integration 和 integration-roadmap，输出完整的并购决策与执行包。 核心：尽调风险识别 → 估值锚定 → 交易架构 → 整合落地。

williamcorrea23 Skill

并购整合路线图 — 制定并购后整合计划，明确整合目标、时间表、 关键任务和责任分工，确保整合顺利推进。 适用情形：并购交易完成后 [X] 天内，或用户要求"制定整合路线图"时执行。 核心：整合范围确认 + 整合计划制定 + 协同效应追踪 + 风险管理。

bg-szy Skill

Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.

bg-szy Bundle

Produce first drafts that match a writer's authentic voice using their Voice DNA Document. Consumes DNA documents from writing-dna-discovery skill. Generates 2 meaningfully different drafts with headlines, confidence assessment, decision notes, and DNA refinement suggestions. Collaborative partner that evaluates, pushes back, and advocates for quality. Handles blog posts, essays, newsletters, and more.

bg-szy Skill

Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.

bg-szy Skill

Surface ebook ideas you didn't know you had. Use when ready to discover what ebooks might be hiding in your content, expertise, or thinking. Supports both content-rich creators (blog posts, videos, newsletters) and those with unpublished expertise. Produces a curated list of ebook candidates ready for Concept Development. Handles multi-session discovery with living documents.

bg-szy Bundle

Use the AgentD workflow to mine evidence, design molecules, and rank candidates with SAR plus ADMET annotations for early drug discovery tasks.

bg-szy Skill

This skill should be used when the user asks to "triage a vulnerability report", "assess a CVE", "evaluate a bug bounty submission", "decide if a finding is valid", "review a security finding", "dismiss a vulnerability", "should we fix this CVE", "prioritize a vulnerability report", or needs to determine whether an incoming vulnerability report warrants investigation. Applies 7 brocards (rules of thumb) to systematically accept, dismiss, or request more information on vulnerability reports, or needs to filter raw findings from agentic vulnerability discovery pipelines before human review.

bg-szy Bundle

Analyzes alternative splicing from PacBio Iso-Seq (HiFi, Kinnex/MAS-Iso-seq) and Oxford Nanopore (direct cDNA, direct RNA, R10.4.1+) long-read RNA-seq with full-isoform resolution. Tools include FLAIR (correct/collapse/quantify/diffSplice for PacBio + ONT), IsoQuant (de-novo or annotation-guided isoform discovery 2024 SOTA), Bambu (annotation-aware Bayesian discovery + quantification with Novel Discovery Rate), SQANTI3 (isoform classification: FSM/ISM/NIC/NNC + artifact flags), rMATS-long (event calling on long-read isoforms), and minimap2 (-ax splice:hq for HiFi; -ax splice -k14 for ONT cDNA; add -uf only for direct RNA or stranded cDNA preps). Solves microexon detection, recursive splicing, complex multi-exon isoforms, and DTU without transcript-quantification uncertainty. Use when short-read AS limitations (anchor length, complex isoforms, microexons, recursive splicing, transcript ambiguity) demand full-isoform resolution.

akachandan1 Bundle

When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," "content planning," "editorial calendar," "content marketing," "content roadmap," "what content should I create," "blog topics," "content pillars," or "I don't know what to write." Use this whenever someone needs help deciding what content to produce, not just writing it. For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit. For social media content specifically, see social-content.

luyu2026 Bundle

产品经理 Skill 库全局总控。管理 20 个 PM Skill：13 个执行工具（PRD、评审、优先级、路线图、数据分析、实验、埋点、问卷、竞品、复盘、原型×3）+ 7 个专家顾问团（Cagan、Torres、俞军、Mom Test、Story Mapping、Build Trap 及其总控）。 能力：(1)根据用户描述的问题自动路由到最合适的 Skill (2)编排多 Skill 工作流链路，把上一步产出接力给下一步 (3)判断类问题转交 pm-advisory-board 组织专家评审。 触发词：「pm-master」「产品总控」「我该用哪个 Skill」「帮我推进这个需求」「从头到尾走一遍」「完整链路」， 或者用户描述了一个产品工作场景但没有指明用哪个 Skill、或一个任务明显需要多个 Skill 接力完成时，优先使用本 Skill。

plyght Skill

Install and work with uifork, a CLI tool and React component library for managing UI component versions. Use when the user wants to version components, test UI variations, gather stakeholder feedback, or work with uifork commands like init, watch, new, fork, promote.

drmoisan Skill

Invoke the prd-feature worker to produce feature-document outputs from issue and research inputs.

bg-szy Bundle

An LLM chemistry agent with expert-designed tools for organic synthesis, drug discovery, and materials design.

bg-szy Skill

Pythonic RDKit wrapper with sensible defaults for drug discovery. SMILES parsing, standardization, descriptors, fingerprints, similarity, clustering, diversity selection, scaffold analysis, BRICS/RECAP fragmentation, 3D conformers, and visualization. Returns native rdkit.Chem.Mol. Prefer datamol for standard workflows; use RDKit directly for advanced control.

bg-szy Bundle

Compute RDKit-driven molecular properties (MW, logP, TPSA, QED, Lipinski) for a SMILES string to support downstream drug discovery tools.

bg-szy Skill

AI-powered extracellular vesicle and exosome analysis for cancer biomarker discovery, liquid biopsy applications, and intercellular communication profiling.

bg-szy Skill

Foundation model-powered spatial transcriptomics analysis leveraging 53M+ spatially resolved cells for cellular architecture modeling and tissue niche discovery.

bg-szy Skill

AI-powered TCR-peptide-MHC interaction prediction using AlphaFold3 and deep learning for therapeutic TCR discovery, neoantigen validation, and T cell immunogenicity assessment.