ptouch-labels

A role model for multi-agent work in herdr with a human in the loop: architect and steward seats, rules and run leads, crew sub-types, historians, paper trails and watchers. Optional: obsidian-track-changes-agent for collaborative drafting.

15 skills · 12 agents · hooks

FDM 3D-printing knowledge: filaments and drying, sourcing, storage and maintenance, recycling, models and tools, code CAD with build123d, publishing models. Bambu A1 notes included; no printer control.

8 skills

Lets AI agents take part in CriticMarkup review in Obsidian: agents propose and comment as tracked changes, and you accept or reject them with the Track Changes plugin.

4 skills · hooks

Mermaid diagrams that parse the first time: syntax reference, SVG/PNG/ASCII rendering, real product icons, and a hook that checks every .mermaid write.

3 skills · hooks

Shipping and return label PDFs onto peel-and-stick half-sheet sticker stock, and QR codes or images onto plain paper (macOS + CUPS).

2 skills

Text from images and scanned PDFs on macOS: vision-language model versus OCR engine, an Apple Vision helper, why embossed cards defeat bitonal scans, and extraction without exposing sensitive values.

1 skill

AI agent skills for integrating the Scandit Data Capture SDK — product selection, documentation, and implementation guides for barcode scanning, ID capture, and smart label capture.

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks

The text-to-cad plugin gives your agent local workflows for generating 3D models as STEP, GLB, STL or 3MF files. It also does design for manufacturing checks, generates engineering drawings, and connects to popular 3D printing, sheet metal and CNC fabrication services.

8 skills

Research and draft a competitive battle card from public evidence, every claim labeled and sourced.

1 skill

Identify and remove AI provenance marks from images, video, and text the user generated or edited. Use when the user asks to strip Gemini sparkles, SynthID, Microsoft InvisMark, Meta Content Seal, C2PA, EXIF/XMP AI metadata, Sora/Veo/Seedance/Doubao/Dola/Hailuo/Kling labels, or other AI watermarks, or asks whether a file was AI-generated. Do not use for stock-agency, marketplace, classifieds, or other third-party paid-asset watermarks.

1 skill

Ship one approved master, image or video, to every placement: ratios, safe zones, and platform specs from social feeds to shops, storefronts, and print.

179 skills