SKILL·3C4015

basic-obedience

pjt222
Updated 1 month ago
9 views
21
3
21
View on GitHub
Otherai

About

This Claude Skill provides structured training for core dog obedience commands using positive reinforcement techniques. It covers foundational skills, session management, and troubleshooting for puppies, adult dogs, or rescues. Developers can use it to integrate reliable, step-by-step dog training guidance into their applications.

Quick Install

Claude Code

Recommended
Primary
npx skills add pjt222/agent-almanac -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternative
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/basic-obedience

Copy and paste this command in Claude Code to install this skill

Documentation

Basic Obedience

Foundation cmds (sit, stay, come, heel, down) → positive reinforcement + marker training.

Use When

  • New puppy (8+ wks) ready for foundation
  • Adult dog no reliable basics
  • Rescue dog → learn household cmd vocab
  • Before complex behaviors or off-leash
  • Existing cmds degraded → re-establish

In

  • Required: Dog (any breed, 8+ wks)
  • Required: High-value treats (small, soft, quick)
  • Optional: Clicker or verbal marker ("yes")
  • Optional: 6-ft leash + flat collar/harness
  • Optional: Quiet space, min distractions (init)

Do

Step 1: Charge Marker

Marker bridges behavior → reward.

Marker Training Protocol:
1. Choose your marker: clicker (precise) or verbal "yes" (always available)
2. Charge the marker (10-15 reps):
   - Mark (click or "yes") then immediately deliver a treat
   - No behavior required — just marker → treat, marker → treat
   - Dog should begin orienting toward you at the sound of the marker
3. Test: mark when the dog is looking away. Does the dog turn toward
   you expecting a treat? If yes, the marker is charged.

Timing Rule:
The marker must occur WITHIN 1 second of the desired behavior.
Late marking teaches the wrong behavior.
Mark → then reach for the treat (not the reverse).

Dog orients to handler on marker, expects reward.

If err: No response after 20 reps → treat value low. Higher-value (cheese, chicken, liver). Dog too distracted to eat → env too stimulating, quieter space.

Step 2: Five Foundation Cmds

One cmd per session → reliable, then mix.

Command Protocols:

SIT:
1. Hold treat above dog's nose, slowly arc backward over the head
2. As the dog's head follows up, the rear naturally lowers
3. The instant the rear touches the ground → mark and treat
4. Add the verbal cue "sit" AFTER the dog is offering the behavior reliably
   (cue comes before behavior only once the dog understands the behavior)

DOWN:
1. From a sit, hold treat at the dog's nose then lower slowly to the ground
2. Draw the treat slightly forward along the ground
3. As elbows touch the ground → mark and treat
4. If the dog stands instead, reset and try with less forward movement

STAY:
1. Ask for a sit or down
2. Open palm toward the dog, say "stay"
3. Wait 1 second → mark and treat while the dog is still in position
4. Gradually increase duration: 2s, 5s, 10s, 30s, 1 min
5. Add distance: one step back, then two, then five
6. Add distraction: only after duration and distance are solid
   (the "three Ds": Duration, Distance, Distraction — increase one at a time)

COME (recall):
1. Start on a long line (15-30 ft) in a low-distraction environment
2. Let the dog wander, then call name + "come" in an upbeat tone
3. If the dog turns toward you → mark → reward generously when the dog arrives
4. NEVER call "come" for something unpleasant (bath, crate, leaving the park)
5. Recall is the most important safety command — make it the most rewarding

HEEL:
1. Dog on your left side, treat in left hand at your hip
2. Take one step, if the dog moves with you → mark and treat
3. Gradually increase to two steps, five steps, ten steps
4. Mark and treat for maintaining position (head roughly at your knee)
5. If the dog pulls ahead, stop walking. Resume when the leash is loose.

Each cmd reliable in low-distraction env w/ treats.

If err: Cmd no progress after 3 sessions → break into smaller steps. Intermediate behavior (e.g., "down" → reward head-lowering before full elbows-on-ground).

Step 3: Session Structure

Session Guidelines:
+--------------------+------------------------------------------+
| Parameter          | Guideline                                |
+--------------------+------------------------------------------+
| Duration           | 5-10 minutes (puppies: 3-5 minutes)      |
| Frequency          | 2-3 sessions per day                     |
| End on success     | Always end after a successful rep, not   |
|                    | after a failure                          |
| Reward rate        | Initially: every correct rep             |
|                    | Later: intermittent (variable schedule)  |
| Energy management  | High-energy dog? Exercise BEFORE training|
|                    | Low-energy dog? Train when most alert    |
| Session structure  | Warm-up (easy known command) → new       |
|                    | material → cool-down (easy command)      |
+--------------------+------------------------------------------+

The 80/20 Rule:
- 80% of reps should succeed (dog is getting it right)
- If success rate drops below 80%, the criteria is too high — go easier
- 20% challenge keeps the dog engaged without frustrating

Short, successful sessions. Dog wants more.

If err: Dog disengages (sniff, look away, lie down) → session too long/hard or rewards weak. End, reassess.

Step 4: Distraction-Proof

Reliable quiet env → add distractions systematically.

Distraction Ladder (work through sequentially):
1. Quiet room, no distractions (starting point)
2. Room with a family member present
3. Backyard or garden
4. Front yard with street noise
5. Quiet park or trail
6. Busy park with other dogs at a distance
7. Busy park with other dogs nearby
8. Novel environments (pet store, cafe patio)

At each new level:
- Expect performance to decrease — this is normal
- Increase reward rate back to every correct rep
- Do not add more distraction until the current level is reliable
- If the dog fails 3 reps in a row, you moved up too fast — go back one level

Cmds reliable in progressively more distracting envs.

If err: Specific distraction (other dogs, squirrels) consistently breaks training → needs separate counter-conditioning (see behavioral-modification).

Check

  • Marker charged, dog responds reliably
  • All 5 cmds work in low-distraction env
  • Sessions 5-10 min, end on success
  • Success rate ≥80% per cmd
  • Cmds generalizing via distraction ladder
  • Handler timing (marker within 1s) consistent

Traps

  • Repeat cue: "sit, sit, SIT" → teaches first "sit" optional. Say once, wait
  • Treat late: Treat follows marker within 2-3s. Late → breaks assoc
  • Lure forever: Hand motion w/ treat fades in 10-20 reps. Else dog only responds when food visible
  • Punish failed recall: Call "come" then scold → poisons recall cue permanently
  • Train too long: Fatigued dog learns nothing. Quit ahead
  • Inconsistent cues: All household uses same words + gestures

  • behavioral-modification — unwanted behaviors that interfere w/ basic obedience

GitHub Repository

pjt222/agent-almanac
Path: i18n/caveman-ultra/skills/basic-obedience
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams
FAQ

Frequently asked questions

What is the basic-obedience skill?

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

How do I install basic-obedience?

Use the install commands on this page: add basic-obedience 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 basic-obedience belong to?

basic-obedience is in the Other category, tagged ai.

Is basic-obedience free to use?

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

Related Skills

llamaguard
Other

LlamaGuard is Meta's 7-8B parameter model for moderating LLM inputs and outputs across six safety categories like violence and hate speech. It offers 94-95% accuracy and can be deployed using vLLM, Hugging Face, or Amazon SageMaker. Use this skill to easily integrate content filtering and safety guardrails into your AI applications.

View skill
cost-optimization
Other

This Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.

View skill
quantizing-models-bitsandbytes
Other

This skill quantizes LLMs to 8-bit or 4-bit precision using bitsandbytes, achieving 50-75% memory reduction with minimal accuracy loss. It's ideal for running larger models on limited GPU memory or accelerating inference, supporting formats like INT8, NF4, and FP4. The skill integrates with HuggingFace Transformers and enables QLoRA training and 8-bit optimizers.

View skill
sports-betting-analyzer
Other

This Claude Skill analyzes sports betting markets including spreads, over/unders, and prop bets by examining historical trends and situational statistics to identify value bets. It provides structured markdown output with actionable recommendations for educational purposes. Developers should use this for sports betting analysis tools while noting it's designed for entertainment/education only.

View skill