Create multiple related GitHub issues safely by resolving full OWNER/REPO, checking duplicates and labels first, and verifying each created issue.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は vamseeachanta/workspace-hub から 3,441 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
vamseeachanta/workspace-hub収集済み skill 3,441 件中 40 件を表示しています。
Create multiple related GitHub issues safely by resolving full OWNER/REPO, checking duplicates and labels first, and verifying each created issue.
原文の言語: 英語
Build self-contained interactive web applications as single HTML files. Use for creating demos, prototypes, interactive tools, and standalone web experiences that work without external servers.
原文の言語: 英語
Use when the user asks to plan, draft, or refine a leisure trip — weekend getaway, road trip, international rail trip, or beach vacation. Triggers on phrases like "plan a trip", "trip to X", "weekend ideas", "X-day trip", "where should we go", "draft an…
原文の言語: 英語
Enforce the page-shape contract when a repo-side document or analysis output gets converted into an llm-wiki page. Use when (1) running `scripts/knowledge/llm_wiki.py ingest`, (2) writing or rewriting a wiki page from docs/reports/*, docs/handoffs/*,…
原文の言語: 英語
Class-level governance workflow for keeping llm-wiki-style markdown knowledge bases current, public-safe, graph/index-valid, and useful for code development. Use when reviewing llm-wiki architecture/content, scanning new LLM concepts, maintaining public…
原文の言語: 英語
Adversarially review the last 24h of multi-agent work by combining git history, GitHub issue state, generated analysis artifacts, governance tests, and duplicate-checked follow-up issue creation.
原文の言語: 英語
Analyze session quality trends — identify high-churn patterns, report waste, flag sessions exceeding 500 tool calls
原文の言語: 英語
Quick provider/model switching for Hermes CLI — aliases, fallbacks, task routing matrix, and utilization audit pattern.
原文の言語: 英語
Quick provider/model switching for Hermes CLI — aliases, fallbacks, task routing matrix, and utilization audit pattern.
原文の言語: 英語
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
原文の言語: 英語
Route agents to the canonical worldenergydata source-readiness skill and summary script. Use when asked for worldenergydata data completeness, data locations, latest known data dates, scheduler freshness, source-readiness status, or acceptance-criteria inputs…
原文の言語: 英語
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.
原文の言語: 英語
Use this at the end of substantial repo or agent waves to convert evidence-backed lessons into proposed durable assets: skills, scripts, rules/checks, prompt templates, docs, or issues. Always use it when the user mentions flywheel, wave closeout, repo…
原文の言語: 英語
Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.
原文の言語: 英語
Operate ace-linux-1 as the continuous AI-agent control surface for overnight and continuous batches that keep GTM material moving toward client outreach.
原文の言語: 英語
Canonical GitHub issue planning route — issue intake, strengthened resource intelligence, repo-tracked plan artifact, adversarial review, GitHub progress posting, future-issue capture, explicit approval gate before execution, machine-dispatch readiness…
原文の言語: 英語
Audit and dispose of session residue (orphan files, scratch dirs, sibling-repo state, locks, trash-stages) BEFORE claiming a task complete. Required gate before any agent says "all done", "task complete", or hands work back to user/orchestrator.
原文の言語: 英語
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.
原文の言語: 英語
"AI interface skill for PyVista 3D visualization --- VTK wrapper for mesh
原文の言語: 英語
Assess vortex-induced vibration (VIV) for risers and tubular members with natural frequency and safety factor calculations. Use for VIV susceptibility analysis, natural frequency calculation, vortex shedding assessment, and tubular member fatigue from VIV.
原文の言語: 英語
Recover and harden digitalmodel Blender automation work in isolated worktrees when uv/editable dependency paths break and local machines lack a Blender executable.
原文の言語: 英語
Class-level digitalmodel OrcaWave/OrcaFlex readiness, semantic-proof, fixture-proof, and closeout workflows.
原文の言語: 英語
Run digitalmodel tests from isolated worktrees without uv editable-dependency failures by using the main repo's existing virtualenv and PYTHONPATH.
原文の言語: 英語
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.
原文の言語: 英語
Build and extend fixture-backed OrcaFlex reporting proof paths in digitalmodel using stable metadata baselines, normalized HTML snapshots, and reusable reporting test helpers.
原文の言語: 英語
Architecture and scripts for syncing Hermes memory into git-tracked .claude/memory/ so all machines get context via git pull. Covers quality gate, drift detection, topic mirroring, and cron automation.
原文の言語: 英語
Operate and recover the Hermes-to-repo memory bridge: drift checks, quality gate, bridge commits, push verification, and stash recovery when pre-bridge scripts fail after generating outputs.
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
Survey, classify, and clean up `/mnt/local-analysis/` (or any sibling-to-workspace-hub directory holding orphan worktrees, codex-burn artifacts, agent log accumulations, and outer-clone duplicates) without losing useful code/work. Surfaces a tiered approval…
原文の言語: 英語
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or…
原文の言語: 英語
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.
原文の言語: 英語
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.
原文の言語: 英語
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
原文の言語: 英語
Compact the current conversation into a handoff document for another agent to pick up.
原文の言語: 英語
Manage the Hermes ↔ repo memory sync system — bridge, quality gate, compaction, health checks, and cron
原文の言語: 英語
Pre-commit verification pipeline — static security scan, baseline-aware quality gates, independent reviewer subagent, and auto-fix loop. Use after code changes and before committing, pushing, or opening a PR.
原文の言語: 英語
Recover delegated Claude Code print-mode runs that stall silently or produce partial edits in large worktrees.
原文の言語: 英語
Delegate coding tasks to OpenAI Codex CLI agent. Use for building features, refactoring, PR reviews, and batch issue fixing. Requires the codex CLI and a git repository.
原文の言語: 英語
Deterministic multi-agent task assignment via GitHub labels — classify, label, and generate queue views from `agent:` labels instead of manual queue files
原文の言語: 英語