2,844 skills found · Page 71 of 95
ksimback / looperDesign visual, review-gated agent loops for Claude Code before you run them.
nexscope-ai / amazon-negative-keywordsAmazon negative keyword management and optimization. Search term analysis, waste reduction, savings estimation, and automated negative keyword strategies
nexscope-ai / amazon-repricing-strategyAmazon repricing strategy and Buy Box optimization. Competitive pricing analysis, dynamic pricing rules, margin protection strategies, repricing tool selection, and automated pricing workflows
nexscope-ai / amazon-product-photographyPlan shoot-ready Amazon product photography, listing image sets, infographics, lifestyle scenes, and production briefs
shinpr / claude-code-workflowsDevelopment workflows for Claude Code that keep broad exploration focused on the outcome you approved.
product-on-purpose / utility-pm-workflow-builderGuides a contributor from a workflow idea to a complete Workflow Implementation Packet (draft workflow file, draft workflow command, cross-cutting update checklist) in a staging area for review.
product-on-purpose / utility-pm-workflow-orchestratorRun an ordered sequence of pm-skills against one input, pausing for go/no-go and stopping on a failed or empty step. Accepts a saved prioritized action plan (Mode A) or an ad-hoc named chain (Mode B; the chain command routes here).
shinpr / recipe-reverse-engineerGenerate PRD and Design Docs from existing codebase through discovery, generation, verification, and review workflow
shinpr / recipe-update-docUpdate existing design documents (Design Doc / PRD / ADR) with review
shinpr / subagents-orchestration-guideGuides subagent coordination through implementation workflows
shinpr / recipe-fullstack-implementOrchestrate full-cycle implementation across backend and frontend layers
shinpr / requirement-convergenceSeparates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure
shinpr / recipe-add-integration-testsAdd integration/E2E tests to existing codebase using Design Docs
shinpr / recipe-buildExecute materialized task files in autonomous execution mode
shinpr / recipe-front-buildExecute materialized frontend task files in autonomous execution mode
shinpr / recipe-front-planCreate frontend work plan from design document and obtain plan approval
shinpr / recipe-fullstack-buildExecute materialized fullstack task files with layer-aware agent routing
shinpr / recipe-implementOrchestrate the complete implementation lifecycle from requirements to deployment
shinpr / recipe-planCreate work plan from design document and obtain plan approval
mhattingpete / code-executionExecute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
mhattingpete / code-refactorPerform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls
mhattingpete / conversation-analyzerAnalyzes your Claude Code conversation history to identify patterns, common mistakes, and opportunities for workflow improvement
Ar9av / agent-research-aggregatorPre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md).
Ar9av / content-refinement-agentStep 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devi…
Ar9av / literature-review-agentStep 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Cross…
Ar9av / paper-orchestraOrchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF.
Ar9av / section-writing-agentStep 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimental_log.md into LaTeX booktabs tables, splices the generated figures from Step 2,…
Ar9av / plotting-agentStep 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions.
Ar9av / outline-agentStep 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints.
Ar9av / paper-writing-benchReverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C.
