Results for “archival”

Use when designing an archival book-reader experience with serif-led pages, mono index navigation, aged paper surfaces, margin notes, and a premium catalog frame.

Search archived video using natural language, ingest video files or RTSP streams, and manage ingested sources.

Search arXiv papers by keyword, author, category, or ID.

Agent Vault — fetching secrets from Infisical at runtime

Create, retrieve, query, and update Artifacts — tangible deliverables produced by the project. Use when storing or retrieving documents, designs, datasets, build outputs, slide decks, or any completed deliverable that should be registered in the project catalog.

Search and retrieve academic papers from arXiv via their REST API, including citation data from Semantic Scholar.

Compress, extract, list, and encrypt ZIP archives in batch. Use when archiving files, extracting packages, listing contents, encrypting backups, or batching.

Inventory, archive, and summarize PWDEV Flow project history safely, without deleting artifacts or rewriting Git history.

Search arXiv papers by keyword, author, category, or ID.

Search arXiv papers by keyword, author, category, or ID.

Compact the current conversation into a handoff document for another agent to pick up, including suggested skills and references to existing artifacts.

Search arXiv papers by keyword, author, category, or ID.

`analysis-agent`/`task-agent`/`review-agent`: use when uploads, object storage, streaming, MIME, scanning, access, retention, or cleanup changes; skip without file/storage impact.

Imported skill approval from langchain

Search and summarize papers from ArXiv. Use when the user asks for the latest research, specific topics on ArXiv, or a daily summary of AI papers.

Archive merged feature specs into project memory with provenance, sweep discovery, and gated cleanup

Plan and execute hot-to-cold processkit context archiving while keeping archived entity metadata queryable through the shared index.

Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.

Coordinates multi-service releases, manages container registries, and sets up CI/CD pipelines across platforms.

Scan text or a file for accidentally committed secrets (API keys, tokens)

Search arXiv papers by keyword, author, category, or ID.

Manage files and folders in Box cloud storage. Upload, download, and list content using the Box API.

Documenta, versiona y cierra proyectos de análisis de datos para que queden ordenados y reproducibles en el futuro.

Compress, extract, list, and encrypt ZIP archives in batch. Use when archiving files, extracting packages, listing contents, encrypting backups, or batching.

Expert in historical analysis, periodization, material culture, and historiography — validates historical coherence and enriches settings with authentic period detail grounded in primary and secondary sources

Search and summarize papers from ArXiv. Use when the user asks for the latest research, specific topics on ArXiv, or a daily summary of AI papers.

Search arXiv papers by keyword, author, category, or ID.

Generate structured Architectural Decision Record (ADR) documents with standardized front matter, consequences, and alternatives for AI-optimized decision documentation.

Create, extract, list, and compress tar archives with format support. Use when scanning contents, monitoring sizes, reporting results, alerting corruption.

Manage files and folders in Box cloud storage. Upload, download, and list content using the Box API.

Compact the current conversation into a handoff document a fresh agent can pick up. User-invoked via /handoff; an optional argument describes what the next session will focus on.

Archive multiple completed changes at once. Use when archiving several parallel changes.

Mandatory training archive with model gating (APPROVED/REVIEW/DROP). Trigger when: (1) training run completes, (2) need to decide which models to deploy, (3) want historical training reference, (4) need checkpoint recommendations for overfitting.