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SkillsMP hat 3.441 Skills aus vamseeachanta/workspace-hub gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
vamseeachanta/workspace-hubEs werden 40 von 3.441 gesammelten Skills angezeigt.
Create personalized outreach messages by researching prospects and tailoring content before drafting
Quellsprache: Englisch
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
Run quota-aware Codex usage-burn waves as useful background issue-execution lanes, including Hermes stdin-close and sandbox recovery patterns.
Quellsprache: Englisch
Class-level branch, worktree, dirty-main, stash, sync, and hook hygiene for workspace-hub style multi-repo work.
Quellsprache: Englisch
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 Also use when a loaded skill is outdated, incomplete, or wrong during execution.
Quellsprache: Englisch
Create self-contained execution prompts that define multi-role workflows for Claude sessions without external dependencies
Quellsprache: Englisch
Prevent shell-quoting and command-substitution bugs when posting GitHub issue/PR comments or editing bodies with gh CLI.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Patterns for creating, testing, debugging, and maintaining cron-driven automation in workspace-hub, including log strategy, failure analysis, and safe git-aware job design.
Quellsprache: Englisch
Operate the Teams meeting summary pipeline via Hermes CLI — summarize meetings, inspect pipeline status, replay jobs, manage Microsoft Graph subscriptions.
Quellsprache: Englisch
Three-phase methodology (Substrate → Depth → Quality) for building open-source engineering wikis efficiently. Skip 70%+ of empirical iteration cost by pre-loading the pattern.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
Create new Claude Code skills with proper structure, documentation, and best practices. Use when building custom skills for specific domains, workflows, or organizational needs.
Quellsprache: Englisch
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…
Quellsprache: Englisch
Generate professional documentation, technical writing, and presentations from code using MkDocs, Sphinx, and related tools.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Triage and rank GitHub issues across a workspace-hub style multi-repo ecosystem using machine-readiness, provider-utilization, and leverage scoring.
Quellsprache: Englisch
Use when encountering any bug, test failure, or unexpected behavior. 4-phase root cause investigation — NO fixes without understanding the problem first.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Class-level skill ecosystem curation: housekeeping, deduplication/collision reconciliation, archival, and consolidation governance.
Quellsprache: Englisch
Connect to dev-secondary graphical desktop from dev-primary via VNC over SSH tunnel
Quellsprache: Englisch
Assess a multi-machine, multi-repo AI-enabled workspace for readiness, provider allocation, and issue prioritization.
Quellsprache: Englisch
Reads quota state and recommends optimal Codex/Codex/Gemini allocation per task
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Optimize AI usage efficiency through script-first patterns, batch operations, and input preparation
Quellsprache: Englisch
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.
Quellsprache: Englisch
LLM application patterns, prompt optimization techniques, and AI-powered data analysis workflows.
Quellsprache: Englisch
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
Quellsprache: Englisch
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
Quellsprache: Englisch
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.…
Quellsprache: Englisch
Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns
Quellsprache: Englisch
Class-level provider/session operations for Codex, Codex, Gemini, Hermes, quotas, audit exporters, readiness dispatch, and utilization scorecards.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Sub-skill of agent-usage-optimizer: Baseline Route Mapping (quota-agnostic defaults) (+1).
Quellsprache: Englisch
Sub-skill of agent-usage-optimizer: Complexity Tier → Model Mapping.
Quellsprache: Englisch