vamseeachanta/workspace-hub - Page 5

draft-outreach

Create personalized outreach messages by researching prospects and tailoring content before drafting

github-pr-workflow

Full pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl.

domain-knowledge-sweep

Systematic multi-source research of an engineering domain. Spawns parent issue → 6 research subissues (Standards, Academic, Industry, LinkedIn-marketing, Code-audit, Synthesis) → gap implementation subissues. Replaces LinkedIn-only extraction with defensible…

codex-background-burn-orchestration

Run quota-aware Codex usage-burn waves as useful background issue-execution lanes, including Hermes stdin-close and sandbox recovery patterns.

worktree-branch-sync-hygiene

Class-level branch, worktree, dirty-main, stash, sync, and hook hygiene for workspace-hub style multi-repo work.

self-improving-skills

Use after completing any complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow. Also use when a loaded skill is outdated, incomplete, or wrong during execution.

agent-team-prompt-generation

Create self-contained execution prompts that define multi-role workflows for Claude sessions without external dependencies

github-comment-body-file-safety

Prevent shell-quoting and command-substitution bugs when posting GitHub issue/PR comments or editing bodies with gh CLI.

solidworks-to-blender-pipeline

Use when converting SolidWorks .sldprt/.sldasm geometry to Blender for rendering, animation, or visualization, including questions about STEP export settings, FreeCAD as a bridge, or which mesh format (STL/OBJ/GLTF) to choose.

macos-computer-use

Drive the macOS desktop in the background — screenshots, mouse, keyboard, scroll, drag — without stealing the user's cursor, keyboard focus, or Space. Works with any tool-capable model. Load this skill whenever the `computer_use` tool is available.

cron-job-management

Patterns for creating, testing, debugging, and maintaining cron-driven automation in workspace-hub, including log strategy, failure analysis, and safe git-aware job design.

teams-meeting-pipeline

Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.

oss-wiki-development-arc

Three-phase methodology (Substrate → Depth → Quality) for building open-source engineering wikis efficiently. Skip 70%+ of empirical iteration cost by pre-loading the pattern.

calculation-methodology

Guides the creation of engineering calculation documents through a 6-phase workflow covering problem definition, input gathering, method selection, computation, validation, and reporting. Produces structured YAML calculation files that the calculation-report…

provider-session-learning-transfer

Refresh provider session audit, identify post-audit/unassessed sessions, extract actionable learnings, and transfer them into repo notes and GitHub issues before a follow-up implementation session.

skill-creator

Create new Claude Code skills with proper structure, documentation, and best practices. Use when building custom skills for specific domains, workflows, or organizational needs.

pdf

Comprehensive PDF manipulation toolkit. For batch/bulk extraction (1K+ PDFs), use pdftotext (poppler) via subprocess — fastest and most reliable at scale. For single-document understanding, OpenAI Codex PDF-to-Markdown gives best results. Also supports…

documentation

Generate professional documentation, technical writing, and presentations from code using MkDocs, Sphinx, and related tools.

repo-mission-portfolio-audit

Audit the workspace-hub repo portfolio to extract each repo's mission, identify documentation gaps, and prioritize a plan/approval sequence with explicit LLM-wiki weighting for future issue triage.

issue-portfolio-triage

Triage and rank GitHub issues across a workspace-hub style multi-repo ecosystem using machine-readiness, provider-utilization, and leverage scoring.

systematic-debugging

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

docx

Comprehensive Word document toolkit for reading, creating, and editing .docx files. Supports text extraction, document creation with python-docx, and tracked changes via redlining workflow. Use for legal, academic, or professional document manipulation.

skill-ecosystem-curation

Class-level skill ecosystem curation: housekeeping, deduplication/collision reconciliation, archival, and consolidation governance.

remote-desktop

Connect to dev-secondary graphical desktop from dev-primary via VNC over SSH tunnel

multi-machine-ai-readiness-and-issue-triage

Assess a multi-machine, multi-repo AI-enabled workspace for readiness, provider allocation, and issue prioritization.

agent-usage-optimizer

Reads quota state and recommends optimal Codex/Codex/Gemini allocation per task

durable-provider-throughput-dispatch

Run quota-aware but spend-forward Codex/Codex/Gemini batches when provider credits are not the bottleneck and the goal is durable plan/review/execution throughput across machines.

gemini-batch-execution

Execute Gemini research tasks in efficient batches using hermes router to maximize $20/month quota utilization. Covers toolset config, batch patterns, sandbox pitfalls, and cleanup.

inventory-readiness-provider-dispatch

Build and operate a computable readiness matrix that connects raw-data-to-GTM package stages with Codex/Codex/Gemini dispatch lanes and weekly credit pacing.

usage-optimization

Optimize AI usage efficiency through script-first patterns, batch operations, and input preparation

agenta

LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.

ai-prompting

LLM application patterns, prompt optimization techniques, and AI-powered data analysis workflows.

dspy

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

langchain

Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework

pandasai

Conversational data analysis using natural language queries on pandas DataFrames. Use when you want to ask plain-English questions about data, generate charts, explain transformations, or build exploratory analysis interfaces — all powered by an LLM backend.…

prompt-engineering

Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns

provider-session-quota-operations

Class-level provider/session operations for Codex, Codex, Gemini, Hermes, quotas, audit exporters, readiness dispatch, and utilization scorecards.

provider-utilization-scorecard

Refresh provider quota snapshots and generate a weekly Codex/Codex/Gemini utilization scorecard grounded in quota data when available and session-activity fallback when not.

agent-usage-optimizer-baseline-route-defaults

Sub-skill of agent-usage-optimizer: Baseline Route Mapping (quota-agnostic defaults) (+1).

agent-usage-optimizer-complexity-tier-model-mapping

Sub-skill of agent-usage-optimizer: Complexity Tier → Model Mapping.