Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
autoplan
Automatically chain intake, planning, spec review, and plan refinement into one orchestrated planning pass, surfacing only decisions that need explicit user approval. Use when the user wants a fast but disciplined planning workflow.
zvec
Zvec vector database development assistant. Use this skill when users need to develop vector search applications based on zvec, build RAG systems, implement semantic search, or handle vector data storage and querying. Suitable for Python and Node.js development environments, prov
maintaining-core-documentation
Creates, maintains, and synchronizes core project documentation (README, TODO, DESIGN, Architecture, Testing, Deployment). Use when the user needs to write, update, or structure project documentation based on codebase changes, or whenever the user asks to perform any documentatio
go-development
Use when developing Go applications, implementing job schedulers or cron, Docker API integrations, LDAP/AD clients, building resilient services with retry logic, setting up Go test suites (unit/integration/fuzz/mutation), running golangci-lint, or optimizing Go performance.
typo3-extension-upgrade
Use when upgrading TYPO3 extensions to newer LTS versions (v11->v12, v12->v13, v13->v14 - v14.3 LTS is the current target), running Extension Scanner, Rector, Fractor, PHPStan, fixing deprecated APIs, or resolving compatibility issues. Also triggers on: migration, version upgrade
academic-reviser
Self-review, audit, or verify CS/AI/ML paper drafts as a critical peer reviewer. Three-round review (evidence→argument→style) with Verification Status and debt tracking. Use when: reviewing a paper draft before submission, checking evidence compliance of claims, simulating peer r
academic-polishing
Polish academic prose, de-AI-ify text, control claim strength, or rewrite method sections for CS/AI/ML papers. Executes Prose Quality Gate, Claim Strength Audit, and de-AI pass. Use when: removing AI writing patterns from paper text, adjusting claim strength to match evidence lev
academic-paper-writer
Core orchestrator for writing CS/AI/ML papers from scratch. Coordinates evidence audit, citation search, experiment verification, prose polishing, peer review, and figure generation across 6 sub-skills. Uses section-by-section drafting with Draft→Quality Gate→Expansion→Self-Revie
academic-figure
Create, revise, or audit academic figures for CS/AI/ML papers. Two paths: architecture figure prompting (tool-agnostic structured prompts) and data figure code generation (publication-ready Python scripts with matplotlib/seaborn). Use when: generating model architecture diagram p
academic-experiments
Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations (newly_run/preexisting_artifact/user_claim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing expe
academic-citation
Search, verify, and map citations for CS/AI/ML papers. Produces VERIFIED/UNVERIFIED reference lists with Citation-to-Claim maps and Exemplar Sets. Use when: finding references for a paper section, verifying citation accuracy, building exemplar sets for introduction/related work l
fal
Generate images, videos, audio, and more using fal.ai AI models. Use when user requests: "generate image", "create video", "make a picture", "text to image", "image to video", "text to speech", "transcribe audio", "edit image", "remove background", "upscale image", "enhance resol
using-memory
Stores and retrieves agent memories for context persistence. Use when saving findings, recalling past analysis, or searching for relevant context.
understanding-platform
Explains Altertable platform concepts and architecture. Use when asking what Altertable is or how agents, discoveries, memories, insights, and dashboards fit together.
tracking-events
Works with Altertable product analytics events, user identification, and aliasing. Use when tracking events, identifying users, managing traits, or resolving identities.
querying-lakehouse
Writes and executes DuckDB SQL against the Altertable lakehouse. Use when analyzing data, aggregating metrics, building reports, or querying tables in connections.
managing-discoveries
Manages the discovery approval workflow. Use when handling discovery reviews, approval states, user feedback, or discovery lifecycle.
forecasting-timeseries
Analyzes time series for trends, anomalies, and forecasts. Use when detecting spikes or drops, predicting future values, or finding unusual patterns over time.
exploring-data
Explores data connections and schemas. Use when asking about tables, columns, data types, data structure, or available sources before querying.