MCP HubMCP Hub
SKILL·C6710D

read-garden

pjt222
업데이트됨 1 month ago
9 조회
26
3
26
GitHub에서 보기
기타general

정보

`read-garden` 스킬은 정원 건강 상태를 프로그래밍 방식으로 평가하기 위한 구조화된 프로토콜을 제공하며, 식물과 토양을 체계적으로 관찰하기 위해 좌표 원격 투시(Coordinate Remote Viewing)의 단계를 적용합니다. 이 스킬은 식물 스트레스, 계절적 변화 또는 정기적인 모니터링에 의해 트리거되어 감각 데이터 수집, 패턴 인식 및 건강 상태 분류 매트릭스를 안내합니다. 이 도구는 데이터 기반의 정원 관리 결정을 내리기 위해, 어떠한 개입보다 먼저 사용하도록 설계되었습니다.

빠른 설치

Claude Code

추천
기본
npx skills add pjt222/agent-almanac -a claude-code
플러그인 명령대체
/plugin add https://github.com/pjt222/agent-almanac
Git 클론대체
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/read-garden

Claude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요

문서

Read Garden

Observe and assess garden with structured sensory protocol before any intervention decision.

When Use

  • Before intervention — read garden first, act second
  • Plants show stress (yellow, wilt, curl, spots)
  • Seasonal transitions (spring wakeup, autumn decline) need check
  • New garden site eval before plant
  • Regular (weekly or biweekly) garden health monitoring
  • After extreme weather (frost, heat wave, heavy rain)

Inputs

  • Required: Physical access to garden
  • Required: Garden journal or notebook for record
  • Optional: Prior observation records for compare
  • Optional: Soil thermometer, pH strips, moisture meter
  • Optional: Hand lens or magnifier (pest/disease ID)

Steps

Step 1: Meditate Checkpoint — Pre-Entry Clearing

Before enter garden, clear preconceptions.

Pre-Garden Clearing (3-5 minutes):
1. Stand at the garden's edge — do not enter yet
2. Take three slow breaths (inhale 4 counts, exhale 6 counts)
3. Set aside what you expect to find:
   - "I think the tomatoes need water" → Set aside
   - "That pest spray probably didn't work" → Set aside
   - "The lettuce should be ready by now" → Set aside
4. Adopt the observer's stance: you are here to receive information,
   not confirm hypotheses
5. Let your eyes soften — peripheral vision, not focused scanning
6. When you feel neutral and receptive, enter the garden

Why this matters:
Gardeners who enter with a diagnosis in mind see confirmation
everywhere and miss what the garden is actually showing them.
Observation before interpretation is the foundation of good practice.

Got: Calm, receptive state. No preconceptions about what you find.

If fail: Cannot release expectations (strong worry over specific plant, frustration from recent loss)? Acknowledge emotion, write as "AOL: [concern]", proceed. Naming reduces influence.

Step 2: Stage I — Gestalt Impression

Walk garden perimeter. Record first unfiltered impression.

Gestalt Protocol:
1. Walk slowly around the entire garden boundary
2. Do NOT examine individual plants yet — take in the whole
3. Record your impression using only these categories:
   - Overall vigour: thriving / stable / declining
   - Dominant colour tone: deep green / pale / mixed / yellowing
   - Density: lush / adequate / sparse / bare patches
   - Energy: (subjective) vibrant / calm / tired / distressed
4. Note what draws your eye first — this is often the loudest signal
5. Record ambient conditions: temperature, wind, sky, soil moisture
   (visual), recent weather

Example Gestalt Record:
  Date: 2026-04-15, 9:30am, 14°C, overcast, light rain yesterday
  Overall: Stable, but northeast corner looks depleted
  Colour: Mixed — good green on brassicas, pale on tomato starts
  Density: Adequate except herb bed (sparse)
  Energy: Calm, not vibrant — spring is slow this year
  Eye drawn to: Wilting squash transplants (row 3)

Got: Brief holistic record of garden state. No analysis or diagnosis.

If fail: Start diagnose right away (e.g., "the squash wilts because...")? Write "AOL: [diagnosis]". Return to pure observation. Analysis comes in Stage III.

Step 3: Stage II — Sensory Layer

Move through garden bed by bed. Engage all senses for each area.

Sensory Observation Protocol (per bed or zone):

LEAF LANGUAGE:
- Colour: Deep green, pale green, yellowing, purpling, browning
  - Yellowing (chlorosis): general = nitrogen, interveinal = iron/manganese
  - Purpling: phosphorus deficiency or cold stress
  - Browning: tip burn = salt/fertilizer, edge burn = potassium
- Curl direction:
  - Upward: heat stress, drought, herbicide exposure
  - Downward: overwatering, root damage
  - Inward (cupping): virus, mite damage
- Surface: Smooth, rough, sticky (aphid honeydew), powdery (mildew), spotted
- Underside: Check for eggs, mites (tiny dots), early mildew

STEM AND STRUCTURE:
- Strength: Upright and sturdy vs. leaning or lodged
- Colour: Normal woody/green vs. blackening (rot) or pale (etiolation)
- Flexibility: Supple (healthy) vs. brittle (dehydrated) vs. mushy (disease)
- Growth pattern: Normal internodes vs. elongated (light-seeking)

ROOT SIGNALS (check at soil line and during transplant):
- Colour: White/cream (healthy), brown/black (rot), orange (rust fungus)
- Smell: Earthy (healthy), sour/sulphurous (anaerobic rot)
- Structure: Fibrous network (good) vs. circling (pot-bound) vs. sparse (stress)

SOIL AT THE PLANT:
- Moisture: Dry and cracked / moist and dark / waterlogged and gleaming
- Surface: Mulched / bare / crusted / mossy / algae-covered
- Smell: Sweet and earthy (good) / sour (anaerobic) / musty (fungal)
- Inhabitants: Earthworms, beetles, spiders (good) / slugs, ants farming aphids (concerning)

Record each observation as a sensory descriptor — no analysis yet.
Wrong: "The tomatoes have early blight"
Right: "Tomato lower leaves: brown spots, concentric rings, yellowing around spots"

Got: Detailed sensory record per bed or zone. Descriptive language only.

If fail: Catch self diagnose (name disease, blame pest)? Write "AOL: [diagnosis]". Return to raw observation. Name comes later — data first.

Step 4: Stage III — Pattern Recognition

Now, and only now, start connect observations to patterns.

Pattern Analysis Protocol:
1. Review your Stage II notes for each bed
2. Ask these structured questions:

   SPATIAL:
   - Are symptoms localized (one plant, one bed) or systemic (whole garden)?
   - Is there a gradient? (Worse near a fence = shade; worse near path = compaction)
   - Are only certain species affected? (Host-specific = disease; all species = environmental)

   TEMPORAL:
   - Is this new growth or old growth?
     - New growth affected: nutrient deficiency (can't build new tissue)
     - Old growth affected: mobile nutrient being relocated, or infection spreading
   - Did symptoms appear suddenly (weather event, application) or gradually (chronic condition)?

   POPULATION:
   - One plant: likely individual issue (root damage, transplant shock)
   - One species: likely species-specific (disease, pest preference)
   - All plants: likely environmental (soil, water, weather)

3. Cross-reference with Five Indicators (leaf, stem, root, soil, phenology):
   - Do multiple indicators point to the same cause?
   - Convergent signals = higher confidence diagnosis
   - Contradictory signals = more observation needed

AOL Management:
If your mind jumps to a conclusion before the pattern analysis is complete:
- Write "AOL: [conclusion]" on a separate line
- Do NOT act on it yet
- Return to the data
- If the same conclusion re-emerges from multiple independent observations,
  it graduates from AOL to tentative diagnosis
- A tentative diagnosis is still not action — it's a hypothesis to test

Distinguish:
- Premature label (low evidence, high confidence) → dangerous
- Convergent conclusion (high evidence, proportional confidence) → actionable

Got: One or more tentative diagnoses backed by multiple independent observations.

If fail: No clear pattern? Garden may be healthy (not all is problem) or signals too early to read. Record observations. Reassess in one week. Time clarifies what one visit cannot.

Step 5: Heal Checkpoint — Garden Health Triage

Convert observations into prioritized action plan.

Garden Health Triage Matrix:
┌──────────┬──────────────────────────┬─────────────────────────────┐
│ Priority │ Criteria                 │ Example Actions             │
├──────────┼──────────────────────────┼─────────────────────────────┤
│ TODAY    │ Actively dying, wilting  │ Deep water. Emergency shade.│
│ (Red)    │ severely, pest           │ Hand-remove pests. Support  │
│          │ infestation visible      │ lodged stems.               │
├──────────┼──────────────────────────┼─────────────────────────────┤
│ THIS     │ Declining but stable,    │ Feed (compost tea or foliar │
│ WEEK     │ nutrient deficiency      │ seaweed). Mulch bare soil.  │
│ (Amber)  │ symptoms, early disease  │ Improve drainage. Prune     │
│          │ signs                    │ affected foliage.           │
├──────────┼──────────────────────────┼─────────────────────────────┤
│ WATCH    │ Subtle changes, early    │ Record in journal. Reassess │
│ (Green)  │ signs that may resolve   │ in 1 week. Take photos for  │
│          │ naturally, seasonal      │ comparison. Do NOT          │
│          │ transitions              │ intervene yet.              │
├──────────┼──────────────────────────┼─────────────────────────────┤
│ HEALTHY  │ No issues observed,      │ Appreciate. Continue        │
│ (Blue)   │ vigorous growth, good    │ current care. Note what's   │
│          │ colour, active biology   │ working for future seasons. │
└──────────┴──────────────────────────┴─────────────────────────────┘

Triage Rules:
1. Address RED items immediately — everything else can wait
2. Address AMBER items this week — schedule specific days
3. GREEN items: observe only. Most "watch" items resolve themselves.
   The most common gardener error is treating green items as amber
4. BLUE items: actively note what's working — these are your successes
5. Never address more than 2 priorities per garden visit
   (doing too many things at once means doing nothing well)

Got: Triaged action list. Clear priorities and timeline.

If fail: All feels like red? You may be in anxiety mode, not observation mode. Return to meditate checkpoint (Step 1). Re-enter. True emergencies rare — most garden problems develop slow, can wait a day.

Step 6: Record and Track

Close observation session with journal entry.

Garden Observation Record Template:
Date: ___________  Time: ___________
Weather: ___________  Recent weather: ___________

GESTALT: (1-2 sentences from Stage I)

BED-BY-BED OBSERVATIONS: (Stage II data)
  Bed 1: ___________
  Bed 2: ___________
  [...]

PATTERNS NOTED: (Stage III analysis)
  ___________

TRIAGE:
  RED (today): ___________
  AMBER (this week): ___________
  GREEN (watch): ___________
  BLUE (healthy): ___________

AOLs RECORDED: (list any premature conclusions that arose)
  ___________

ACTIONS TAKEN:
  ___________

COMPARE TO LAST VISIT:
  Improving: ___________
  Worsening: ___________
  Unchanged: ___________

Got: Complete dated observation record. Comparable to prior visits.

If fail: Journaling burdensome? Cut to minimum: date, weather, triage summary, one observation per bed. Consistency beats detail.

Checks

  • Meditate checkpoint done before enter garden
  • Gestalt impression recorded before examine individual plants
  • Sensory observations use descriptive language (no diagnosis in Stage II)
  • AOLs identified, set aside (not acted on premature)
  • Pattern analysis covers spatial, temporal, population factors
  • Triage matrix done with clear priority levels
  • Observation record dated, filed in garden journal
  • Actions match triage level (no over-treat green items)

Pitfalls

  1. Confirmation bias: Enter garden looking for specific problem = guarantee you find it (or look-alike). Meditate checkpoint prevents this
  2. Diagnose in Stage II: Name disease during sensory observation biases all next data. Stay with descriptors until Stage III
  3. Treat green as amber: Most garden "problems" resolve themselves. Spray or prune at first sign often causes more harm than original symptom
  4. Skip record: No journal = every visit starts from scratch. Patterns emerge only over time — time needs records
  5. AOL suppress vs manage: Goal is not zero analytical thoughts — impossible. Goal: notice, name, set aside until data supports or refutes
  6. Over-intervention: Reading protocol should boost confidence, cut number of actions. Doing more after reading? Maybe treating anxiety, not garden

See Also

  • meditate — Pre-entry clearing protocol (full meditation procedure)
  • heal — Health triage pattern used in checkpoint
  • prepare-soil — Soil assessment overlaps with soil observation layer
  • cultivate-bonsai — Bonsai health assessment follows same staged observation
  • plan-garden-calendar — Observation records inform calendar tweaks mid-season
  • remote-viewing — CRV-adapted staging protocol originates from this skill

GitHub 저장소

pjt222/agent-almanac
경로: i18n/caveman/skills/read-garden
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams
FAQ

Frequently asked questions

What is the read-garden skill?

read-garden is a Claude Skill by pjt222. Skills package instructions and resources that Claude loads on demand, so Claude can perform read-garden-related tasks without extra prompting.

How do I install read-garden?

Use the install commands on this page: add read-garden to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does read-garden belong to?

read-garden is in the Other category, tagged general.

Is read-garden free to use?

Yes. read-garden is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

연관 스킬

llamaguard
기타

LlamaGuard는 폭력 및 혐오 발언 등 6가지 안전 범주에서 LLM 입력과 출력을 조정하기 위한 Meta의 70-80억 파라미터 모델입니다. 94-95% 정확도를 제공하며 vLLM, Hugging Face 또는 Amazon SageMaker를 사용해 배포할 수 있습니다. 이 기술을 사용하여 AI 애플리케이션에 콘텐츠 필터링 및 안전 가드레일을 손쉽게 통합하세요.

스킬 보기
cost-optimization
기타

이 Claude Skill은 리소스 적정화, 태깅 전략, 지출 분석을 통해 개발자들이 클라우드 비용을 최적화할 수 있도록 지원합니다. AWS, Azure, GCP에서 클라우드 비용을 절감하고 비용 거버넌스를 구현하기 위한 프레임워크를 제공합니다. 인프라 비용을 분석하거나, 리소스를 적정화하거나, 예산 제약을 충족해야 할 때 사용하세요.

스킬 보기
sports-betting-analyzer
기타

이 Claude Skill은 스프레드, 오버/언더, 프로프 베트를 포함한 스포츠 베팅 시장을 분석합니다. 역사적 추이와 상황별 통계를 검토하여 가치 베트를 발견하고, 교육적 목적으로 실행 가능한 권장 사항이 담긴 구조화된 마크다운 결과를 제공합니다. 개발자는 이 기능을 스포츠 베팅 분석 도구에 활용할 수 있으며, 단순히 엔터테인먼트/교육 목적으로만 설계되었음을 유의해야 합니다.

스킬 보기
quantizing-models-bitsandbytes
기타

이 스킬은 bitsandbytes를 사용하여 LLM을 8비트 또는 4비트 정밀도로 양자화하며, 최소한의 정확도 손실로 50-75%의 메모리 감소를 달성합니다. 제한된 GPU 메모리에서 더 큰 모델을 실행하거나 추론을 가속화하는 데 이상적이며, INT8, NF4, FP4와 같은 형식을 지원합니다. 이 스킬은 HuggingFace Transformers와 통합되어 QLoRA 학습 및 8비트 옵티마이저를 가능하게 합니다.

스킬 보기