Expert assistant for generating working applications from OpenAPI specifications. Specializes in API spec analysis, application architecture, and code generation across multiple frameworks.

Generate a complete, production-ready application from an OpenAPI specification. Use when creating controllers, services, models, and configurations from an OpenAPI/Swagger spec.

Suggest the next task to work on based on current Phase and worklog state. Use when you want to know what to do next in the project.

Mutation testing patterns for verifying test effectiveness. Use when analyzing branch code to find weak or missing tests.

Create, update, refactor, explain or work with code using the Python version of Microsoft Agent Framework. Use when working with AI agents, workflows, or migrating from Semantic Kernel or AutoGen.

한국 특화 기능(교통·날씨·부동산·쇼핑·법률·금융·공공데이터 등) 요청이 들어오면 실행. git pull로 최신화 후 README 레지스트리에서 스킬을 골라 해당 SKILL.md만 읽어 진행한다.

Scaffold a new FastAPI project with standard structure, Pydantic models, dependency injection, and optional MCP/OAuth integration. Use when starting a new FastAPI service or adding a new API module to an existing project.

Working expectations and documentation practices. Use when capturing learnings or understanding how to work with this codebase.

Delegate to OpenAI Codex CLI when: (1) user explicitly requests it (codex에게 맡겨줘, codex로 해줘, 외주화해줘, codex 실행해줘, codex 리뷰 돌려줘), OR (2) the task requires autonomous repo-scale execution — writing multiple test files, file-level refactoring across many files, bulk edits (type hints, formatting, comments across a directory), or code review with a clear done condition. Do NOT delegate: design/architecture decisions, small edits (under ~20 lines), explanation-only requests, or tasks where Claude needs to reason about context first.

API architect for designing and generating external service integration code. Use when building REST API clients, service integrations, or applying resilience patterns (circuit breaker, bulkhead, throttling, backoff). Generates fully implemented code across service/manager/resilience layers.

Skill for the validation infrastructure module providing PDF validation, markdown validation, output integrity checks, link verification, documentation audits, issue categorization, and repository scanning. Use when validating research outputs, checking document quality, running audits, or verifying cross-references.

Skill for the steganography infrastructure module providing QR code generation with dynamic mailto links, hash manifests, metadata payloads, and document-wide overlay processing. Use this module to insert opt-in cryptographic and steganographic provenance data onto PDFs.

Programmatic discovery of first-party agent SKILL.md files under configured public repo roots (infrastructure, projects, docs/prompts, and .cursor/skills). Use when enumerating skills, validating .cursor/skill_manifest.json, writing docs/_generated/skills_index.md, checking docs/prompts workflow contracts, or wiring editor automation. Exposes discover_skills, write_skill_manifest, manifest_matches_discovery, and check_skill_contracts.

Paperclip-style multi-source literature search across arXiv, Crossref, local JSON corpora, and (opt-in) the Paperclip API. Provides Paper/SearchQuery/SearchResult data models, a LiteratureClient aggregator with per-backend failure isolation, DOI/arXiv-aware deduplication via merge_papers, deterministic JSON caching via SearchCache, an HttpClient protocol for test injection, and a CLI (search/to-bibtex). Use when finding papers by topic, building reading lists, populating references.bib from a query, or replaying a prior search reproducibly.

Discovery utilities for academic literature. Currently exposes the `literature` submodule — Paperclip-style multi-source search across arXiv, Crossref, local JSON corpora, and (opt-in) the Paperclip API, with deterministic JSON caching, a `LiteratureClient` aggregator, normalised `Paper` records, and a CLI. Use when the user wants to find papers, build reading lists, populate references.bib from a query, or replay a prior search reproducibly. Designed to host additional discovery workflows without breaking the public API.

Skill for the scientific infrastructure module providing numerical stability checks, performance benchmarking, scientific documentation generation, implementation validation, and module/workflow templates. Use when benchmarking functions, checking numerical stability, validating scientific implementations, or creating scientific module scaffolds.

Skill for the reporting infrastructure module providing pipeline reporting, error aggregation, executive summaries, dashboard generation, test reporting, and multi-project reports. Use when generating build reports, aggregating errors, creating visual dashboards, or producing executive summaries across projects.

Skill for the rendering infrastructure module providing multi-format output generation including PDF manuscripts, HTML web pages, Beamer/Reveal.js slides, and posters. Use when rendering research outputs, converting markdown to PDF, generating slides, or configuring LaTeX rendering.

BibTeX read/write/convert that matches the syntax/semantics of projects/template_code_project/manuscript/references.bib (consumed by Pandoc with --natbib -- see infrastructure/rendering/_pdf_combined_renderer.py). Provides BibEntry/BibDatabase models, parse_bibfile/render_database functions, paper_to_bibentry conversion from literature search results, generate_citation_key in the project's house style (firstauthorlastname+year+firsttitleword), LaTeX-special-character escape helpers, and a CLI (validate/format/convert). Use when reading or writing .bib files, exporting search results to BibTeX, or generating citation keys.

Bibliographic-reference utilities for research projects. Read, write, and convert BibTeX entries that match the syntax/semantics of projects/template_code_project/manuscript/references.bib (consumed by Pandoc with --natbib during PDF render -- see infrastructure/rendering/_pdf_combined_renderer.py). Currently exposes the `citation` submodule (BibTeX I/O + Paper→BibEntry conversion); designed to host additional reference workflows (e.g. CSL-JSON export, ORCID lookups) without breaking the public API.

Skill for the publishing infrastructure module providing academic publishing workflows including BibTeX CLI citation generation, APA/MLA citation helper functions, DOI management, Zenodo publication, arXiv submission preparation, GitHub releases, and publication readiness validation. Use when publishing research, generating citations, minting DOIs, or preparing submissions.

Prose analysis utilities for research manuscripts and prose-focused projects. Provides readability metrics (Flesch, Flesch-Kincaid, Gunning Fog), heading-outline structural analysis, editorial quality flags (passive voice, hedge words, citation density, long sentences), aggregate ManuscriptReport across a manuscript directory, and a CLI (metrics/outline/quality/report). Use when analyzing manuscripts for readability, building editorial dashboards, validating heading structure, extracting citation keys from prose, or wiring prose-quality gates into the pipeline.

Skill for the project management infrastructure module providing multi-project discovery, structure validation, and metadata extraction. Use when discovering active projects, validating project directory structure, or extracting project configuration metadata.

Python CLI and menu orchestration for pipeline runs — project slug validation, interactive picker, PipelineRunner wrapping PipelineExecutor, per-stage logs, secure pipeline wrapper. Use when extending run.sh behavior, fixing menu/CLI routing, or testing discovery helpers.