vamseeachanta/workspace-hub - 5페이지

draft-outreach

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

원문 언어: 영어

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.

원문 언어: 영어

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…

원문 언어: 영어

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.

원문 언어: 영어

worktree-branch-sync-hygiene

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

원문 언어: 영어

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 Also use when a loaded skill is outdated, incomplete, or wrong during execution.

원문 언어: 영어

agent-team-prompt-generation

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

원문 언어: 영어

github-comment-body-file-safety

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

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

teams-meeting-pipeline

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

원문 언어: 영어

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.

원문 언어: 영어

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…

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

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…

원문 언어: 영어

documentation

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

원문 언어: 영어

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.

원문 언어: 영어

issue-portfolio-triage

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

원문 언어: 영어

systematic-debugging

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

원문 언어: 영어

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.

원문 언어: 영어

skill-ecosystem-curation

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

원문 언어: 영어

remote-desktop

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

원문 언어: 영어

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

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

원문 언어: 영어

agent-usage-optimizer

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

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

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.

원문 언어: 영어

usage-optimization

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

원문 언어: 영어

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.

원문 언어: 영어

ai-prompting

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

원문 언어: 영어

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

원문 언어: 영어

langchain

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

원문 언어: 영어

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.…

원문 언어: 영어

prompt-engineering

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

원문 언어: 영어

provider-session-quota-operations

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

원문 언어: 영어

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.

원문 언어: 영어

agent-usage-optimizer-baseline-route-defaults

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

원문 언어: 영어

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

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

원문 언어: 영어