Results for “sca”

Evaluate acquisition channels using unit economics, customer quality, and scalability to decide whether to scale, test, or kill a growth channel.

Scans a codebase to extract design tokens, typography, colors, spacing, and brand patterns, then writes a Design Context section to CLAUDE.md without asking questions.

Manage Gate entities — validation checkpoints that WorkItems, scopes, or policy applications must pass (code review, security scan, tests). Use when defining or updating a checkpoint for v2 workflow surfaces — code review, tests green, security scan, stakeholder approval.

Implements automated PII discovery and classification using tools like Microsoft Purview, BigID, OneTrust DataDiscovery, and AWS Macie. Covers scanning schedules, accuracy tuning, false positive management, and integration patterns. Keywords: data discovery, PII scanning, Purview, BigID, Macie, OneTrust, automated classification, data cataloging.

Turn a design or spec document into a working MVP by planning thin vertical slices, scaffolding the first slice, then building iteratively with test-driven development and gated commits.

Evaluate codebase against enterprise ICP for production readiness, compliance, and multi-stakeholder journey coverage

Scan task pipeline health, build or update the project roadmap, and maintain a priority task queue

Answer any data question, scaling effort from a one-number lookup to a full stakeholder-ready analysis with a recommendation.

Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)

Applies the COBIT framework to design scalable, maintainable, and interoperable enterprise systems and solutions.

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

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

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

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

Routes to specialized GKE sub-skills for cluster management, networking, security, scaling, and more on Google Kubernetes Engine.

Applies the Federal Enterprise Architecture Framework to design scalable, maintainable, and interoperable enterprise systems and solutions.

Provides people strategy and operational HR frameworks for hiring, compensation, org design, and culture that scales.

Creates .NET projects from templates with validated parameters, Central Package Management adaptation, and multi-project composition.

Generates APEXlang artifacts for Oracle APEX applications using deterministic local-context discovery and compact machine-readable contracts.

Designs and maintains versioned reusable task sequences in Financial Services Cloud using Action Plan templates for client onboarding, account opening, annual review preparation, and compliance tasks.

The meta-framework for how a company runs — the connective tissue between all C-suite roles. Covers operating system selection (EOS, Scaling Up, OKR-native, hybrid), accountability charts, scorecards, meeting pulse, issue resolution, and 90-day rocks. Use when setting up company operations, selecting a management framework, designing meeting rhythms, building accountability systems, implementing OKRs, or when user mentions EOS, Scaling Up, operating system, L10 meetings, rocks, scorecard, accountability chart, or quarterly planning.

The meta-framework for how a company runs — the connective tissue between all C-suite roles. Covers operating system selection (EOS, Scaling Up, OKR-native, hybrid), accountability charts, scorecards, meeting pulse, issue resolution, and 90-day rocks. Use when setting up company operations, selecting a management framework, designing meeting rhythms, building accountability systems, implementing OKRs, or when user mentions EOS, Scaling Up, operating system, L10 meetings, rocks, scorecard, accountability chart, or quarterly planning.

Provides revenue leadership frameworks for B2B SaaS companies, including forecasting, pricing strategy, sales model design, and team scaling.

Build and scale developer-led adoption through ecosystem programs, community, and partnerships, focusing on what drives adoption.

Simplify molecular cheminformatics with a Pythonic wrapper around RDKit for SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, and parallel processing.

Run web, multi-source, or last-30-days research through AIsa. Use when: the user needs search, synthesis, competitor scans, or trend discovery. Supports research-ready outputs and structured retrieval.

Turns a natural-language project specification into a complete, runnable starter repository with real code, tests, and CI configuration for any stack.

Discover and inventory ICS/OT assets using Claroty xDome, including passive monitoring, active queries, and integration with CMDB tools.

Evaluate SaaS unit economics and capital efficiency to determine if a business can scale efficiently or needs correction.

Transforms scattered competitor data into a decision-ready product strategy report with positioning maps, feature matrices, pricing analysis, and opportunity windows.