Claude Skills by vamseeachanta

Visual + structural verification of HTML benchmark/validation reports using the Claude-in-Chrome extension. Opens the report in a browser, takes screenshots, checks key DOM elements, and produces a PASS/FAIL verdict. Generic by default; module-specific check lists extend the base set.

Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

A robust workflow for handling a batch of related investigative tasks that require file system research, documentation, and version control.

Break a large umbrella GitHub issue into a layered tree of focused follow-on issues using read-only subagent analysis, then create the issues locally and update docs/parent issue with the issue map.

Guide for building high-quality Model Context Protocol (MCP) servers

Process multiple files in parallel with aggregation and progress tracking.

Diagnose and fix false negatives caused by `grep -q` short-circuiting upstream producers under `set -euo pipefail`.

Code-centric Goal-Oriented Action Planning integrated with SPARC methodology.

Goal-Oriented Action Planning (GOAP) specialist that dynamically creates

Customize or personalize a Claude Code plugin for a specific organization's tools and workflows by replacing placeholders and configuring MCP servers.

Keep semantic-diff taxonomy summaries consistent with evidence tables when adding richer categories to legacy comparison/reporting pipelines.

Harden Bash automation scripts with TDD-first static and behavioral checks, safe Python invocation via uv, locking, persistent state, and review-driven correction loops.

Shell-based TDD test harness patterns — pass/fail counters, common assertions,

Evaluate all workspace-hub skills for structural validity, content quality,

SPARC Architecture phase specialist for system design, component architecture,

SPARC Pseudocode phase specialist for algorithm design, data structure

SPARC Refinement phase specialist for iterative improvement through TDD,

SPARC Specification phase specialist for requirements analysis, constraint

Execute implementation plans with structured subagent dispatch and two-stage

Use when encountering any bug, test failure, or unexpected behavior. 4-phase root cause investigation — NO fixes without understanding the problem first.

Verify whether the exact files from a just-completed task are still uncommitted before creating another commit, especially in dirty repos with unrelated churn.

Test-Driven Development methodology enforcing RED-GREEN-REFACTOR cycle. Use for writing tests first, preventing regression, and ensuring code correctness. Based on obra/superpowers.

Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.

Safe workflow for fixing bulk test assertion failures in existing test suites — collection errors mask deeper problems, replace_all corrupts, fix source first then tests

Systematically fix failing tests in a test suite — root cause analysis, targeted patches, regression verification, and documentation.

Generate standardized pytest configuration with fixtures, markers, and

Production validation specialist ensuring applications are fully implemented

TDD London School (mockist) specialist for mock-driven, outside-in development.

Optimize development environment, containers, CLI productivity, and git

Six-phase quality gate for code changes. Runs build, typecheck, lint, test, security, and diff-review in sequence. Supports JavaScript/TypeScript, Python, and Rust with auto-detection and skip conditions.

Web application testing toolkit using Playwright with Python. Use for

Generate standardized Python project structure with pyproject.toml, UV

End-to-end workflow for generating reports from data, validating outputs,

Execute configuration-driven analysis workflows from YAML files. Use

Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.

Git-track AI agent learnings so they survive machine loss — memory snapshots, corrections, patterns, insights across Claude, Hermes, Codex, and Gemini.

Wire Hermes into workspace-hub ecosystem — multi-repo skills, config sync, session export to learning pipeline, memory cross-pollination, skill patch tracking, and cross-machine health checks.

Reapply the Hermes Kanban dashboard readability customizations (clickable bare URLs in card descriptions + readable card-text font, a visible horizontal scrollbar so all columns are reachable) as a user-override plugin that survives hermes-agent updates. Use when the Kanban board reverts to the Mondwest display font / plain-text Source URLs after a hermes update, or when bootstrapping a machine whose ~/.hermes was wiped.

Class-level Hermes local configuration and setup workflows, including config audit gotchas and Windows installation.

Install and configure a repo-centric Hermes agent workspace on Windows. Covers prerequisites, repo cloning, Python/uv environment, skills system, memory bridge, and multi-agent coordination — the Windows equivalent of the Linux workspace-hub pattern.

Decomposition playbook + specialist-roster conventions + anti-temptation rules for an orchestrator profile routing work through Kanban. The "don't do the work yourself" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.

Diagnose and reduce git repository bloat — multi-GB .git, slow git status/fetch/clone caused by large binaries committed to history. Consolidates packs and enables the untracked-cache (always-safe wins), then plans an operator-gated history rewrite that strips only large already-deleted blobs. Use when a repo's .git is multiple GB, git ops are slow, or the user mentions "repo bloat", "shrink/slim .git", "git filter-repo", "repo health", or large binaries in git history. Safe to point at any w...

Create and manage webhook subscriptions for event-driven agent activation. Use when the user wants external services to trigger agent runs automatically.

Audit Hermes custom config keys and migrated skill settings safely, with verified command behavior and stale-path checks.

Recover and harden digitalmodel Blender automation work in isolated worktrees when uv/editable dependency paths break and local machines lack a Blender executable.

Fast orientation guide for the digitalmodel codebase, with module lookup,

Class-level digitalmodel OrcaWave/OrcaFlex readiness, semantic-proof, fixture-proof, and closeout workflows.

Run digitalmodel tests from isolated worktrees without uv editable-dependency failures by using the main repo's existing virtualenv and PYTHONPATH.

Create evaluation scripts and integration tests for Python scientific libraries in the digitalmodel package. Follows the established pattern from fluids, ht, meshio, sectionproperties, and pygmt evaluations.

Query the digitalmodel module registry to discover modules by capability, standard, or maturity without reading source code.