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SkillsMP a collecté 3 441 skills depuis vamseeachanta/workspace-hub. Ouvrez un skill pour examiner sa source et ses détails.
vamseeachanta/workspace-hubAffichage de 40 skills collectés sur 3 441.
Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
Auto-query llm-wiki domains for relevant context before executing domain tasks
Langue du texte source : anglais
Generate clinical trial protocols for medical devices or drugs through a modular, waypoint-based architecture with research-only and full protocol modes.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data for gene expression, variant calling, and chromatin accessibility analyses.
Langue du texte source : anglais
Systematic framework for scientific problem selection, project ideation, troubleshooting stuck projects, and strategic research decisions.
Langue du texte source : anglais
Deep learning for single-cell analysis using scvi-tools: data integration, batch correction, multi-modal analysis, reference mapping, and more.
Langue du texte source : anglais
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations.
Langue du texte source : anglais
Prevent Codex/Gemini adversarial review dispatch failures caused by relative prompt-file paths and background workdir drift.
Langue du texte source : anglais
Prevent adversarial review dispatch failures caused by relative prompt paths, superseded background sessions, and stale completion notices when launching Codex/Gemini review jobs.
Langue du texte source : anglais
Prevent stale plan/code review prompts from being sent to Codex/Gemini after the underlying artifact changed.
Langue du texte source : anglais
Prevent approval-stage adversarial review churn by keeping plans implementation-focused, schema-complete, and free of stale review-process narration.
Langue du texte source : anglais
Run an approval-stage adversarial cross-review sweep across multiple GitHub issues, drafting any missing canonical plan artifacts before dispatching Codex/Gemini reviews.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Recover adversarial plan reviews when providers keep reading stale remote/main content instead of the revised local artifact.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Handle Gemini adversarial-review runs that emit repeated 429 capacity errors before either recovering with a real verdict or failing unavailable.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais
Assess a multi-machine, multi-repo AI-enabled workspace for readiness, provider allocation, and issue prioritization.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Class-level workflow for plan-review hardening, adversarial review reruns, artifact grounding, approval hygiene, and prompt/path drift recovery.
Langue du texte source : anglais
Plan mode for Hermes — inspect context, write a markdown plan into the active workspace's `.hermes/plans/` directory, and do not execute the work.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Generate live issue-specific Codex prompts for a single terminal, with repo-aware path contracts and plan-gate safety checks.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Use when executing implementation plans with independent tasks. Dispatches fresh delegate_task per task with two-stage review (spec compliance then code quality).
Langue du texte source : anglais
Deprecated alias for gh-work-execution.
Langue du texte source : anglais
Run cross-agent memory bridge. Sync learnings between machine agents, update shared knowledge. Phase 5 of #1760.
Langue du texte source : anglais
Import a GSD-2 (.gsd/) project back to GSD v1 (.planning/) format
Langue du texte source : anglais