Create, update, inspect, or repair Data Analytics semantic layers. Use when the user asks to save data context or create a semantic layer that future Data Analytics work can inspect and cite.
Skills in this repository
visionarycoder/vc.Agentic - Page 6
SkillsMP has collected 728 skills from visionarycoder/vc.Agentic. Open a skill to review its source and details.
visionarycoder/vc.AgenticShowing 40 of 728 collected skills.
Scaffolds eval.yaml test files for agent skills in the dotnet/skills repository. Use when creating skill tests, writing evaluation scenarios, defining assertions and rubrics, or setting up test fixture files. Handles eval.yaml generation, fixture…
Create a test baseline for the project to be modernized. The baseline will be used for later verification of modernization tasks.
Creates an implementation plan AND task breakdown from a feature spec by consuming design artifacts. Produces plan.md with implementation steps, inline task list with full REQ traceability, and a Requirement Mapping table. This is the single skill for…
Route critical infrastructure design and implementation requests to the correct platform skill and keep cross-technology decisions consistent.
Fix XML documentation warnings (CS0419, CS1570-CS1658) with correct syntax, resolved crefs, and matching param tags
Runs file-based C# apps with the .NET CLI for focused experiments without creating a project.
You analyze existing C# test suites to find gaps in code coverage, identify untested edge cases, spot missing security validations, and recommend improvements to achieve 80%+ coverage. You work with any .NET test framework (xUnit, nUnit, MSTest) and modern C#…
Combined csv data analysis guidance with task/provider-specific modes. Verify delimited files before ingestion and fix parse defects in a new file.
Scan dependency manifests against known CVEs and remediate by upgrading vulnerable dependencies to patched versions, then rebuild and re-scan to confirm. Self-contained scan→fix→verify loop for any project with a dependency manifest. Use when: a…
Consolidated guidance for AI and ML specific CWE fixes in .NET LLM, generative AI, and classifier integrations.
Consolidated guidance for obsolete, contract, argument-mismatch, low-level, and implementation-defined API misuse CWEs with measurable verification.
Consolidated guidance for authentication and authorization CWEs (CWE-287, CWE-288, CWE-306, CWE-352, CWE-862, CWE-863) with detection patterns, fix patterns, and measurable verification.
Consolidated guidance for channel spoofing, replay, proxy, integrity, downgrade, and protected-channel CWEs with measurable fixes and verification.
Decompose composite and named-chain CWE findings into component weaknesses and route each component to the owning specialist skill.
Consolidated guidance for synchronization-related CWEs in the CWE-888 taxonomy with .NET triggers and fixes.
Guidance for C#/.NET cryptography and predictability CWEs with trigger patterns, fix patterns, and verification.
Consolidated guidance for data-protection CWEs (CWE-200, CWE-209, CWE-295, CWE-319, CWE-502, CWE-798, CWE-639, CWE-401, CWE-363) with detection patterns, fix patterns, and measurable verification.
Route broad security hardening or CWE remediation requests to correct thematic bundle skills. Aggregate results into one verified report.
Remediates uncontrolled search-path loading by replacing ambient search behavior with trusted explicit load paths.
Consolidated guidance for injection and code-execution CWEs (CWE-77, CWE-78, CWE-79, CWE-89, CWE-94, CWE-98) with sink patterns, fix patterns, and measurable verification.
Consolidated guidance for input-verification and bounds CWEs (CWE-20, CWE-119, CWE-120, CWE-121, CWE-122, CWE-125, CWE-787) with detection patterns, fix patterns, and measurable verification. - Buildable repo (dotnet or native toolchain) - Sanitizers…
Consolidated guidance for Risky Values and Unused entities CWEs with C#/.NET trigger, fix, and verification patterns.
Code-review guidance for suspicious code in this .NET repo that can indicate supply-chain compromise, insider threat, or a backdoor.
Guidance for CWE-888 memory-safety clusters in .NET interop, unsafe code, and managed bounds logic.
Consolidated guidance for path traversal, privilege, upload, null, redirect, permission, resource-limit, SSRF, and model-state CWEs with fix patterns and measurable verification.
Consolidated guidance for resource-related CWEs (CWE-117, CWE-190, CWE-269, CWE-276, CWE-284, CWE-400, CWE-416) with detection patterns, fix patterns, and measurable verification.
Routes MITRE CWE taxonomy views and categories to the owning repository security skill when a request cites meta-level CWE organizers instead of a fixable weakness.
Consolidated guidance for UI misrepresentation, password masking, unsafe-action warning, security-feature discrepancy, and security-information loss CWEs with measurable fixes and verification.
Limit new and edited methods to a cyclomatic complexity (CC) of 10 or less, per Thomas J. McCabe's original complexity measure.
Build custom data visualizations with D3. Use when the user needs SVG or DOM-based charts, rich annotation, domain-native contextual backgrounds, data joins, custom scales or interactions, scroll-driven SVG scene states, or precise control over browser…
Generate task DAGs for modernization projects — select fragments from task catalog, produce initial DAG (Stage 1), and execute/validate DAG from plan artifacts (Stage 2).
Full CRUD and analysis for Mixpanel dashboards. Use when the user asks to build, create, analyze, read, understand, explain, modify, update, enhance, or manage dashboards, or asks about dashboard layout, text cards, or report arrangement. Covers dashboard…
Design dashboards and live visualization systems. Use when the user needs monitoring views, streaming charts, coordinated interactions, downsampling, or performance-aware operational visualization.
Route analytical questions to the smallest relevant data workflow using actual sources and available tools.
Generate data architecture and persistence layer documentation with data model diagram
Generate and verify compact data contract frontmatter for datasets, tables, and APIs.
Route data and Fabric requests to the minimum correct data skill by separating KQL diagnostics, ingestion, pipeline issues, semantic models, and data-quality concerns.
Map upstream and downstream lineage paths and generate lineage artifacts with impact analysis.
Run data quality rules, score results, and generate concise reports and framework exports.