detecting-tips-zones SKILL.md skillA
detecting-tips-zones from oaustegard/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add oaustegard/claude-skills/detecting-tips-zones@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- oaustegard/claude-skills
- Path
detecting-tips-zones/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Apr 21, 2026
- Size
- 5,992 bytes
- Repository stars
- 158
- License
- MIT
Text-prompted image zone detection using TIPSv2 B/14 on CPU. Produces `focus_targets` / `focus_edges` bbox lists from natural-language labels, ready to feed into `svg-portrait-mode`. Use when you want automatic foreground/background separation from prompts like "dog face" + "wooden floor" instead of hand-annotating bboxes.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Detecting TIPS Zones
Zero-shot zone detection: text prompts → patch-grid cosine heatmaps → bboxes.
Companion to `svg-portrait-mode` — replaces manual `focus_targets` / `focus_edges`
annotation with a TIPSv2 B/14 forward pass.
## Quick Start
```python
from tips_zones import detect_zones
from portrait_mode import portrait_mode
focus_targets, focus_edges = detect_zones(
"photo.jpg",
targets=["dog face"],
edges=["dog paws", "dog ears", "dog body"],
distractors=["wooden floor", "carpet rug", "shoes", "wall"],
ckpt_dir="/path/to/tips/checkpoints",
tips_root="/path/to/tips",
)
svg, stats = portrait_mode(
"photo.jpg",
focus_targets=focus_targets,
focus_edges=focus_edges,
style_transforms={"background": "desaturate:0.7"},
)
```
Amortise model load across multiple images:
```python
from tips_zones import load_models, detect_zones
models = load_models(ckpt_dir, tips_root, device="cpu")
for img in images:
ft, fe = detect_zones(img, targets=[...], edges=[...], distractors=[...],
ckpt_dir=ckpt_dir, tips_root=tips_root, models=models)
...
```
## How It Works
```
…Read the whole file at its exact version.
How to install
mdr add oaustegard/claude-skills/detecting-tips-zones@sha256:93eae78abf060c6aThe line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_7udapwt5tjgma7y6)
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Versions
The registry has recorded 1 version of this file, committed on Apr 21, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5992 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
oaustegard/claude-skills · 158 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7udapwt5tjgma7y6 GET https://markdownregistry.com/api/v1/resolve?ref=oaustegard/claude-skills/detecting-tips-zones GET https://markdownregistry.com/api/v1/blob/93eae78abf060c6a0dc96dc537449312253fbbfb37aaa8830660fb8668c48d77
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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