Results for “packshot”

Generate a project-level context snapshot for resuming work in a fresh session

Capture and automate macOS UI with the Peekaboo CLI.

Imported skill input from langchain

Capture screenshots of web apps during development using Playwright and PIL. Supports full-page captures, interactive states, and an iterate-on-crop workflow that avoids slow re-screenshots.

Generate Python SDK setup, CRUD, bulk, and paging snippets for Microsoft Dataverse using official patterns.

Dispatches Jetson BSP customization by presenting a click-to-select setup questionnaire and passing prefilled answers to downstream setup skills.

Packages an existing talking-head, interview, or podcast video with timed, designed graphic overlay cards—kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture—synced to the transcript, on a 16:9, 9:16, or 4:5 canvas.

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

Automates macOS UI via a CLI: capture screens, inspect and target UI elements, drive mouse and keyboard input, and manage apps, windows, menus, and dialogs.

Captures snapshots, clips, and motion events from configured IP cameras using the camsnap CLI.

Generate professional product images for e-commerce, including hero shots, packshots, lifestyle scenes, and detail close-ups using AI via the inference.sh CLI.

Git-level WIP safety net. Stashes uncommitted work, tags, and pushes to remote

Capture and automate macOS UI with the Peekaboo CLI.

Capture delivery evidence, commands, changed files, blockers, and standards feedback after a work session.

One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.

Imported skill shell from langchain

Flag misspelled, brandjacked, and typosquatted package names across npm, PyPI, and crates.io before installation using edit-distance, keyboard-proximity, and known-target corpus matching with typomania, OSSGadget, and pypi-scan.

Cheshire Skills Store index — curated Agent Skills packages for Cheshire Terminal (API, PostHog, Google Agent Registry, Skill Hub onchain, Stripe, Solana common errors, NOXA) plus the community skills collection. Use when installing store skills, browsing the store catalog, or wiring cheshireterminal.ai/skills-store.

Compacts the current conversation into a handoff document for another agent to pick up, referencing existing artifacts by path or URL instead of duplicating them.

One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation.

Package a customer escalation for engineering, product, or leadership as a decision-ready handoff — impact, timeline, facts vs. hypotheses, and a specific ask with an owner.

Builds a compact secret-safe repository pack for AI handoff, review, or large analysis; prefers Repomix when available.

Scan task pipeline health, build or update the project roadmap, and maintain a priority task queue

Imported skill modal from langchain

Extract shipper, consignee, order references, carton lines, weights, and package totals from packing lists.

Knowledge pack for AIt — a personal AI platform with monorepo architecture, RAG pipeline, OAuth connectors, and BullMQ scheduling.

Turn a cold start into a warm one. Build a single orientation document for a project, account, or workspace, what it is, where things live, the decisions made so far, the open items, and the next move, so a new session or a new teammate is productive in minutes instead of days. Trigger on "get me up to speed", "onboard someone to this", "what's the context here", "brief a new session", "orient me on this account", or any cold-start on work already in motion.

Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.

Bundle product artifacts into a coherent, production-ready package. Use when the user requests 'package product', 'bundle artifacts', 'assemble deliverables', 'create product package', or 'finalize outputs'.

Imported skill backend from langchain

Clean and package the project for distribution. Removes __pycache__, .venv, build artifacts, data caches, logs, IDE files, coverage reports, and sanitizes API keys in config. Produces a minimal, ready-to-share codebase. Use when user says 'package', 'clean project', 'clean up', '打包', '清理项目', '清理缓存', 'prepare for distribution', 'remove caches', or wants to deliver a clean copy of the code.

Imported skill sandbox from langchain

Trigger: macOS UI, screen recording, simulator UI, desktop app click, capture screen, system dialog, macOS clipboard, menu bar, drag drop. Scope: Automate macOS GUI applications, drive input events, list windows/spaces, and capture visual state via Peekaboo CLI. Boundary: Excludes pure browser-level automation (use chrome-devtools instead) or headless server tasks.

Plan a chunk of work too big for one agent session by putting it on a shared whiteboard — a map of investigation tickets on GitHub Issues — working them until nothing is left to decide, then snapshotting the board into a handoff artifact. Tickets needing nobody are worked back-to-back; the session stops when the human is the blocker. Use only when the user explicitly invokes whiteboard or asks to draw, work, run, or snapshot a whiteboard/map — not for ordinary planning requests.

Capture and automate macOS UI with the Peekaboo CLI.