Agent Skills catalog · page 105
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Aperivue/medsci-skills
check-reporting
Check manuscript compliance with medical research reporting guidelines. Supports 49 guidelines including STROBE, STROBE-MR, RECORD, REMARK (prognostic tumor-marker studies), TARGET (target trial emulation), GATHER (burden-of-disease / health-estimate modeling), CONSORT, CONSORT-AI, STARD, STARD-AI, TRIPOD, TRIPOD+AI, TRIPOD-LLM, PGS-RS, ARRIVE, PRISMA, PRISMA 2020 for Abstracts, PRISMA-DTA, PRISMA-P, PRISMA-ScR (scoping reviews), CARE, SPIRIT, SPIRIT-AI, CLAIM, DECIDE-AI, MI-CLEAR-LLM, SQUIRE 2.
Aperivue/medsci-skills
lit-sync
Sync research references from .bib files to Zotero library + Obsidian literature notes. Extract cross-cutting concept notes when enough literature accumulates. Works after /search-lit or standalone.
Aperivue/medsci-skills
manage-project
Research project management for medical manuscripts. Scaffold project structure, track writing progress across phases, maintain project memory files, generate submission checklists and backwards timelines. Commands: init, status, sync-memory, checklist, timeline.
Aperivue/medsci-skills
manage-refs
Cross-cutting reference manager for medical manuscripts. Single entry point for citation-key validation, journal-CSL pandoc rendering, manuscript ↔ DOCX cross-reference QC, marker conversion (``[N]`` ↔ ``[@key]``), and native Zotero CWYW field-code injection. Replaces the inline reference-handling that previously lived in ``/write-paper`` Phase 7.6 and is reused by ``/revise``, ``/peer-review``, ``/sync-submission``, and any skill that produces a journal submission. Audit-only verification stays
Aperivue/medsci-skills
orchestrate
General-purpose research orchestrator. Routes ambiguous or multi-step requests to the right skill(s) from the medsci-skills bundle. Use when the user describes a research goal without naming a specific skill, or when a task spans multiple skills.
Aperivue/medsci-skills
publish-skill
Convert a personal agent skill into a distributable, open-source-ready skill. Runs PII audit, generalization, license compatibility check, cross-platform adapter review, and packaging workflow.
Aperivue/medsci-skills
search-lit
Literature search and citation management for medical research. Searches PubMed, Semantic Scholar, and bioRxiv/medRxiv with verified citations. Anti-hallucination — every reference verified via API before inclusion. Generates BibTeX entries.
Aperivue/medsci-skills
fill-icmje-coi
Batch-generate per-author ICMJE Conflict of Interest Disclosure Forms (`coi_disclosure.docx`) for manuscript submission. Pre-fills all 13 disclosure items as "☒ None" + final certification ☒ using a synthetic seed template shipped with the skill, then clones the seed per author with Date, Name, and Manuscript Title replaced. Designed for the common case of hospital-based observational research where no author has real financial conflicts; the circulated forms become "reply 'no changes' + sign" f
Aperivue/medsci-skills
model-validation
Design or audit the clinical-validation study for an engineer-built medical-imaging model (segmentation, classification, or detection) before the validation report or manuscript is written. Covers patient-level split disjointness and the data-leakage taxonomy, tuning-on-test, internal versus genuine external validation, comparator design, single-run versus multi-seed variance, task-correct metric selection, test-set sizing, and CLAIM 2024 / TRIPOD+AI / STARD-AI reporting fit. Ships a determinist
Aperivue/medsci-skills
radiomics-ml
Produce or audit a radiomics / tabular clinical-ML study — imaging or clinical features → any classical learner (penalised logistic [LASSO / ridge / elastic-net], SVM, k-NN, naive Bayes, LDA/QDA, decision tree, random forest, gradient boosting [XGBoost / LightGBM / CatBoost], shallow MLP, stacked ensembles) → a clinical outcome — so it clears the rigor bar reviewers expect: nested cross-validation (tuning never on the reported folds), dimensionality control for the features-far-exceed-events reg
Aperivue/medsci-skills
academic-aio
Medical AI paper optimization for AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace) and RAG-based literature tools. Applies when drafting or reviewing titles, abstracts, structured summary boxes (Key Points / Research in Context / Plain-Language Summary), manuscripts for high-impact medical AI journals (Lancet Digital Health, Radiology, Radiology-AI, npj Digital Medicine, Nature Medicine), preprints (medRxiv/arXiv), GitHub README + CITATION.cff + Zenodo archives, and Huggi
Aperivue/medsci-skills
analyze-stats
Statistical analysis for medical research papers. Generates reproducible Python/R code with publication-ready tables and figures. Supports diagnostic accuracy, inter-rater agreement, meta-analysis, survival analysis, survey data, group comparisons, regression, propensity score, and repeated measures.
Aperivue/medsci-skills
design-study
Study design and validity review for radiology and medical AI research. Identifies analysis unit, cohort logic, leakage risks, comparator design, validation strategy, and reporting guideline fit before drafting or submission.
austintgriffith/ethskills
security
Solidity security patterns, common vulnerabilities, and pre-deploy audit checklist. The specific code patterns that prevent real losses — not just warnings, but defensive implementations. Use before deploying any contract, when reviewing code, or when building anything that holds or moves value.
speakeasy-api/gram
golang
Rules and best practices when writing and editing Go (Golang) code
speakeasy-api/gram
gram-pubsub
Gram's declarative GCP Pub/Sub system — topics and subscriptions are declared as protobuf message options, generated into `infra/gen/kcc.yaml`, and used at runtime via a type-safe publisher/subscriber library and the `gram streams` process. Activate for any Pub/Sub work in Gram: adding or changing a topic/subscription, declaring `(gcp.pubsub.v1.topic)`/`(gcp.pubsub.v1.subscription)` options, publishing or consuming messages, implementing a stream handler, dead-letter queues, or the local emulato
speakeasy-api/gram
gram-pubsub-python
How to build and run GCP Pub/Sub stream subscribers in Python under `pystreams/` — the `multi` command (start at `pystreams/src/pystreams/cmd/multi.py`), the `gram_infra.pubsub` publisher/subscriber library, and the anyio runtime mirroring the Go `gram streams` process. Activate for ANY Python Pub/Sub work in Gram: adding or changing a `pystreams` subscriber/handler, NLP/ML scanning consumers (Presidio PII detection, prompt-injection classifiers, spaCy/transformer models over streams), registeri
speakeasy-api/gram
gram-rbac
Concepts, external interfaces, and conventions for Gram's role-based access control (RBAC) subsystem — scopes, grants, principals, system roles, and the `authz.Engine.Require` enforcement path used inside handlers. Activate whenever the task involves authorization (adding or modifying a scope or resource type, declaring a new role or grant, gating a handler, changing scope inheritance, exposing RBAC state through the dashboard).
speakeasy-api/gram
glint
Conventions for authoring or editing analyzers in the `glint/` Go static-analysis package — Gram's custom golangci-lint plugin built on `go/analysis`. Activate this skill whenever the task involves adding, modifying, or testing a `glint` analyzer (new rule key, new diagnostic, settings struct, fixture under `glint/testdata/`, wiring in `BuildAnalyzers`), even if the user does not say "glint" explicitly — phrases like "add a lint rule", "write a custom analyzer", "go/analysis", or "enforce X via
speakeasy-api/gram
gram-audit-logging
Concepts, external interfaces, and conventions for Gram's audit logging subsystem — the internal Go API for recording actor/action/subject events and the `/rpc/auditlogs.*` management API that exposes them. Activate whenever the task involves recording or exposing audit events (adding or changing audit coverage on a service, introducing a new audited subject or action, writing tests that assert an event was recorded, changing how entries are displayed or filtered).
majiayu000/spellbook
comprehensive-testing
Complete testing strategy covering TDD workflow, test pyramid, unit/integration/E2E/property testing, framework best practices (Jest, Vitest, pytest), mock strategies, and CI integration. Use when writing tests, reviewing test quality, or establishing testing standards.
majiayu000/spellbook
vscode-doctor
Diagnose slow or freezing VS Code-compatible editors with evidence-first, zero-hardcoded-assumption workflow. Use when the user reports editor lag, typing delay, UI freezes, extension host stalls, file watcher noise, high editor CPU/RSS, uses VS Code/Cursor as a file browser over a large folder, or wants a safe editor performance audit.
majiayu000/spellbook
architecture-foundation
Design architecture foundations before implementation. Use when asked to design or refactor architecture, choose Rust/Go crate, package, module, runtime, workflow, or service boundaries, compare mature project architecture, prevent stacked one-off PRs, audit migration debt in existing repos, or produce a spec before coding.
majiayu000/spellbook
multi-model-orchestrator
Use when coordinating complex tasks across multiple AI agents with a centralized handoff document for planning, execution tracking, and feedback fusion.