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O SkillsMP coletou 3.441 skills de vamseeachanta/workspace-hub. Abra uma skill para revisar a origem e os detalhes.
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Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.
Idioma do texto original: inglês
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and…
Idioma do texto original: inglês
End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative…
Idioma do texto original: inglês
Auto-query llm-wiki domains for relevant context before executing domain tasks
Idioma do texto original: inglês
Generate clinical trial protocols for medical devices or drugs through a modular, waypoint-based architecture with research-only and full protocol modes.
Idioma do texto original: inglês
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV for LIMS systems and data lakes.
Idioma do texto original: inglês
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data for gene expression, variant calling, and chromatin accessibility analyses.
Idioma do texto original: inglês
Systematic framework for scientific problem selection, project ideation, troubleshooting stuck projects, and strategic research decisions.
Idioma do texto original: inglês
Deep learning for single-cell analysis using scvi-tools: data integration, batch correction, multi-modal analysis, reference mapping, and more.
Idioma do texto original: inglês
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.
Idioma do texto original: inglês
Prevent Codex/Gemini adversarial review dispatch failures caused by relative prompt-file paths and background workdir drift.
Idioma do texto original: inglês
Prevent adversarial review dispatch failures caused by relative prompt paths, superseded background sessions, and stale completion notices when launching Codex/Gemini review jobs.
Idioma do texto original: inglês
Prevent stale plan/code review prompts from being sent to Codex/Gemini after the underlying artifact changed.
Idioma do texto original: inglês
Prevent approval-stage adversarial review churn by keeping plans implementation-focused, schema-complete, and free of stale review-process narration.
Idioma do texto original: inglês
Run an approval-stage adversarial cross-review sweep across multiple GitHub issues, drafting any missing canonical plan artifacts before dispatching Codex/Gemini reviews.
Idioma do texto original: inglês
Recover adversarial plan reviews on large or sandbox-hostile repos by embedding grounded facts + full plan text directly in a compact prompt and explicitly forbidding reviewer tool use.
Idioma do texto original: inglês
Recover adversarial plan reviews when providers keep reading stale remote/main content instead of the revised local artifact.
Idioma do texto original: inglês
Add Google-style docstrings to all public functions and classes in a Python package. Uses AST parsing for precise gap detection, priority ranking by coverage ratio, and multi-file patching.
Idioma do texto original: inglês
Recover adversarial plan reviews in large or tool-constrained repos by using compact self-contained prompts that forbid tool use and rely only on embedded grounded facts plus the plan text.
Idioma do texto original: inglês
Handle Gemini adversarial-review runs that emit repeated 429 capacity errors before either recovering with a real verdict or failing unavailable.
Idioma do texto original: inglês
Compact live-execution checklist companion for approved GitHub issue work. Use during active implementation as a fast operational route; gh-work-execution remains the canonical source of truth.
Idioma do texto original: inglês
Canonical GitHub issue execution route after plan approval — strengthened resource intelligence, TDD-first implementation, targeted validation, adversarial review, delegation controls for Codex agent teams, GitHub progress posting, future-issue capture, and…
Idioma do texto original: inglês
Audit a repo's live GSD/get-shit-done workflow state against docs, issues, and runtime outputs to find stale issues, automation reliability gaps, parser drift, migration residue, and policy contradictions.
Idioma do texto original: inglês
Assess a multi-machine, multi-repo AI-enabled workspace for readiness, provider allocation, and issue prioritization.
Idioma do texto original: inglês
Dispatch parallel adversarial reviews to Codex and Gemini CLIs for plans or code artifacts. Use when the AI Review Routing Policy requires two- or three-provider review — architecture-heavy, security-affecting, cross-module, or high-stakes changes.
Idioma do texto original: inglês
Design self-contained prompts for 3-5 terminals to run overnight without supervision. Ensures zero git contention, provider-optimal allocation, and a clear morning deliverable summary.
Idioma do texto original: inglês
Build overnight parallel batches that close stale-open GitHub issues by proving landed work already satisfies the issue, instead of wasting implementation lanes on redoing completed work.
Idioma do texto original: inglês
Launch approved GitHub issue implementation in parallel using isolated git worktrees, committed execution-pack prompts, local plan-approved markers, and direct background Codex runs when delegate_task workers are unreliable for real repo writes.
Idioma do texto original: inglês
Keep iterative plan-review reruns truthful by syncing prompt files, canonical review artifacts, and the plan's own review-summary narrative after each adversarial wave.
Idioma do texto original: inglês
Run a planning-only multi-terminal wave to harden blocked `status:plan-review` issues for fresh adversarial re-review, with zero implementation work and explicit path ownership.
Idioma do texto original: inglês
Class-level workflow for plan-review hardening, adversarial review reruns, artifact grounding, approval hygiene, and prompt/path drift recovery.
Idioma do texto original: inglês
Plan mode for Hermes — inspect context, write a markdown plan into the active workspace's `.hermes/plans/` directory, and do not execute the work.
Idioma do texto original: inglês
Prevent adversarial review dispatch failures caused by sandbox/tmp path mismatches and provider CLI working-directory drift when launching Codex or Gemini with prompt files.
Idioma do texto original: inglês
Prevent stale adversarial re-reviews by forcing Codex/Gemini to review the exact revised local plan artifact instead of stale GitHub issue text or default-branch content.
Idioma do texto original: inglês
Generate live issue-specific Codex prompts for a single terminal, with repo-aware path contracts and plan-gate safety checks.
Idioma do texto original: inglês
Write test suites for SKELETON packages (zero test coverage) to uplift them to DEVELOPMENT maturity. Handles non-importable modules, optional dependencies, separate sub-repos, and Flask/web packages without runtime.
Idioma do texto original: inglês
Use when executing implementation plans with independent tasks. Dispatches fresh delegate_task per task with two-stage review (spec compliance then code quality).
Idioma do texto original: inglês
Deprecated alias for gh-work-execution.
Idioma do texto original: inglês
Run cross-agent memory bridge. Sync learnings between machine agents, update shared knowledge. Phase 5 of #1760.
Idioma do texto original: inglês
Import a GSD-2 (.gsd/) project back to GSD v1 (.planning/) format
Idioma do texto original: inglês