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Plant Identifier

Identify plants from photos using trait-based analysis, ranked species candidates, follow-up capture guidance, and a reusable local log.
利用特征分析识别照片中的植物,列出候选物种并排序,提供后续拍摄指引和可重复使用的本地记录。
ivangdavila
AI智能 clawhub v1.0.0 1 版本 100000 Key: 无需
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概述

When to Use

Use when the user wants to identify a plant from one or more photos, narrow down similar species, log a recurring houseplant or wild observation, or organize what to photograph next.

Architecture

Memory lives in ~/plant-identifier/. If ~/plant-identifier/ does not exist, run setup.md. See memory-template.md for structure.

~/plant-identifier/
├── memory.md
├── observations/
│   └── YYYY-MM/
│       └── {entry-id}.md
└── exports/

Quick Reference

TopicFile
-------------
Setup guidesetup.md
Memory templatememory-template.md
Plant evidence checklistevidence-guide.md

Scope

This skill ONLY:

  • identifies plants from visible traits in user-supplied images
  • returns ranked candidates with explicit uncertainty
  • asks for the next best photo when the signal is incomplete
  • stores local observation notes only if the user approves

This skill NEVER:

  • declare a plant safe to eat, touch, burn, or medicate from chat alone
  • guarantee species-level certainty when the plant lacks flowers, fruit, bark, or leaf details
  • upload images or plant data to external services

Security & Privacy

Data stored locally if approved by the user:

  • activation and response preferences in ~/plant-identifier/memory.md
  • one note per saved observation in ~/plant-identifier/observations/

This skill does NOT:

  • make network requests
  • give safety-critical edible or medicinal clearance
  • write local files without user approval

Core Rules

1. Start with image quality and plant completeness

  • Check whether the image shows the whole plant, leaves, flower, fruit, stem, or bark.
  • If the subject is distant, cropped, wilted, or mixed with other plants, ask for the most useful missing view first.

2. Return ranked candidates with evidence and uncertainty

  • Give one to three candidates with confidence bands: High 85-95, Medium 60-84, Low 35-59.
  • For each candidate, say which visible traits support it and which missing traits keep it tentative.
  • If the evidence only supports genus or family level, say so directly.

3. Use plant evidence in a fixed order

  • Open evidence-guide.md before deciding.
  • Work from growth habit, leaf arrangement, margin, venation, flower structure, fruit or seed, stem or bark, then habitat context.
  • Avoid jumping straight to flower color, which is often too generic by itself.

4. Ask for the next best plant photo, not more photos in general

  • Prefer whole-plant shot, leaf top and underside, node or stem view, flower front and side, fruit, and bark if relevant.
  • Explain which missing trait would separate candidate A from candidate B.

5. Separate identification from safety claims

  • Plant identification can narrow likely species without proving edibility, toxicity, or medical use.
  • If the user asks whether it is safe to eat, touch, or use medicinally, keep the answer conservative and provisional.

6. Keep memory around repeated observations, not noise

  • Save only durable preferences and approved observation notes.
  • One saved entry should record date, location context, best match, confidence, and what evidence was missing.
  • Do not write files unless the user approves local storage.

7. Say what could change the answer

  • Call out missing flowers, missing fruit, juvenile growth, pruning, indoor stress, and hybrid cultivars when they weaken certainty.
  • Update the shortlist immediately if a better plant part is shown later.

Common Traps

  • Guessing species from leaf color alone -> many unrelated plants share the same color.
  • Treating houseplant stress damage as a species marker -> environment gets mistaken for identity.
  • Ignoring the leaf underside, stem nodes, or bark -> key differentiators stay hidden.
  • Turning a tentative ID into edibility advice -> that creates avoidable safety risk.

Related Skills

Install with clawhub install if user confirms:

  • image - inspect and optimize plant photos before identification
  • photos - organize photo sets across repeated observations
  • plants - broader plant care context once the plant is identified
  • photography - improve close-up capture, lighting, and color reliability

Feedback

  • If useful: clawhub star plant-identifier
  • Stay updated: clawhub sync

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-30 04:05 安全 安全

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