Agent skill

Observation

by Kiyoraka in Kiyoraka/Project-AI-MemoryCore

MUST use when user says 'survey project', 'scan project', 'check health', 'investigate', 'deep dive', 'what's going on in', 'look into', 'refine code', 'clean up code', 'review changes', 'sharpen'…

No licenceAuto-check passedDevelopment

Install Observation

skills CLI
$ npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Kiyoraka/Project-AI-MemoryCore observation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Feature/Observation-System .claude/skills/observation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
observation
GitHub stars
374
Token cost
~6.1k tokens
SKILL.md length
2,322 words
Files
2
Skills in repo
17
Repo updated
First seen
Licence
None found

At a glance

MUST use when user says 'survey project', 'scan project', 'check health', 'investigate', 'deep dive', 'what's going on in', 'look into', 'refine code', 'clean up code', 'review changes', 'sharpen'…

  • Works in 12 steps: Determine Command → Execute Tier Protocol → Suggest Escalation → …
  • User says survey project
  • SKILL.md covers Activation, Context Guard, Protocol and Depth Levels, plus 3 more sections
  • Calls git, dotnet and npm

What it does

Observation is an agent skill from Kiyoraka/Project-AI-MemoryCore. MUST use when user says 'survey project', 'scan project', 'check health', 'investigate', 'deep dive', 'what's going on in', 'look into', 'refine code', 'clean up code', 'review changes', 'sharpen', 'audit system', 'full audit', 'show me everything', or when the AI needs to assess project health before planning, review code quality after implementation, or investigate a bug. Also triggers on 'how does this project look', 'what's the status', 'review what I changed', 'check for issues'.

Its SKILL.md is about 6.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Development, covering Code review and Refactoring.

When your agent uses it

  • User says survey project
  • Whats going on in
  • Show me everything
  • The AI needs to assess project health before planning

Example prompts

  • “survey project”
  • “scan project”
  • “check health”
  • “/observation”

Requirements

  • Docker

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Determine Command
  2. Execute Tier Protocol
  3. Suggest Escalation
  4. Dependency Scan
  5. Structure Scan
  6. Tech Stack Detection
  7. Health Check
  8. Recent Activity
  9. Domain Lesson Check
  10. Dependency Scan
  11. Dependency Scan
  12. Identify Scope

What it can do on your machine

Read from SKILL.md and the folder at commit c421b55. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • dotnet
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Observation loads about 6.1k tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 2,322 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~6.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 2,322 words (~6,136 tokens).

“"See clearly before you act. Act only on what you see."”

— opening of SKILL.md by Kiyoraka
name
observation

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in Feature/Observation-System of Kiyoraka/Project-AI-MemoryCore.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit c421b55

Compare with similar skills

Observation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Observation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Observation this skillKiyoraka/Project-AI-MemoryCore374—~6.1kAutomated safety check: PassNone
Dignified Python Standardsdocling-project/docling69k—~1.5kAutomated safety check: PassApache-2.0
Clean Code GuardamElnagdy/guard-skills1.3k2 repos~4.3kAutomated safety check: PassMIT
Maintainable Code for iPolloWorkDevin-AXIS/iPolloWork6.8k—~2.7kAutomated safety check: PassCustom licence
Over-Engineering ReviewDietrichGebert/ponytail160k—~1.3kAutomated safety check: PassMIT
Cyclomatic Complexitysaurabhkumar8112/cyclomatic-complexity-skill405—~761Automated safety check: PassApache-2.0

Similar skills

  • Dignified Python Standards

    docling-project/docling

    Applies opinionated production Python conventions chosen by the project's Python version: modern type syntax, pathlib, explicit checks and interface guidance.

    69k GitHub stars~1.5k tokensUpdated today
    DevelopmentAuto-check passed
  • Clean Code Guard

    amElnagdy/guard-skills

    Reviews generated or changed production code against Clean Code, SOLID, DRY, KISS, YAGNI and LLM-specific failure modes before it ships, in any language.

    1.3k GitHub starsUsed in 2 repos~4.3k tokens
    DevelopmentAuto-check passed
  • A code-change gate for the iPolloWork repository: search and reuse first, keep one source of truth, justify every new file or dependency, and audit the change.

    6.8k GitHub stars~2.7k tokensUpdated today
    DevelopmentAuto-check passed
  • Over-Engineering Review

    DietrichGebert/ponytail

    Reviews a diff only for unnecessary complexity and lists what to delete or shrink, one numbered line per finding with the location, the cut and its replacement.

    160k GitHub stars~1.3k tokensUpdated today
    DevelopmentAuto-check passed
  • Cyclomatic Complexity

    saurabhkumar8112/cyclomatic-complexity-skill

    Refactor code to reduce cyclomatic complexity so it stays readable, maintainable, and aligned with the long-term vision of the codebase, not just optimized for AI comprehension.

    405 GitHub stars~761 tokensUpdated 1 mo ago
    DevelopmentAuto-check passed
  • Code Review Graph Navigator

    handsontable/handsontable

    Queries a pre-built, Tree-sitter-based code graph of the whole monorepo instead of grepping call chains, for exploring, debugging, refactoring or reviewing code.

    22k GitHub stars~939 tokensUpdated today
    DevelopmentAuto-check passed

More from Kiyoraka/Project-AI-MemoryCore

All 17 skills in this repo
  • Image Generation

    Kiyoraka/Project-AI-MemoryCore

    MUST use when the user wants to RENDER or GENERATE an actual image from a description (not just craft prompt text).

    374 GitHub stars~992 tokensUpdated 2 mo ago
    Auto-check: notes
  • Video Generation

    Kiyoraka/Project-AI-MemoryCore

    MUST use when the user wants to RENDER or GENERATE an actual video / MP4 from a description, or ANIMATE a local image.

    374 GitHub stars~1.2k tokensUpdated 2 mo ago
    Auto-check: notes
  • Auto Commit

    Kiyoraka/Project-AI-MemoryCore

    MUST use when committing code changes, when user says 'commit', 'save changes', 'git commit', 'commit changes', when completing a task and code needs to be preserved, or when any git commit…

    374 GitHub stars~1.6k tokensUpdated 2 mo ago
    Auto-check: notes
  • Forge Skill

    Kiyoraka/Project-AI-MemoryCore

    Auto-triggers when AI detects a repeated pattern handled ad-hoc 3+ times, when AI makes a mistake that a permanent rule would prevent, when AI identifies a workflow that should be automated as a…

    374 GitHub stars~2.3k tokensUpdated 2 mo ago
    Auto-check passed
  • Image Prompt

    Kiyoraka/Project-AI-MemoryCore

    Auto-triggers when user asks for a Midjourney or NijiJourney image prompt, when creating visual art prompts, or when user says 'midjourney prompt', 'niji prompt', 'create prompt', 'create a prompt'…

    374 GitHub stars~2.4k tokensUpdated 2 mo ago
    Auto-check passed
  • Interactive Story

    Kiyoraka/Project-AI-MemoryCore

    Auto-triggers when user says 'new adventure', 'start adventure', 'new fantasy', 'save adventure', 'end adventure', 'load adventure', 'resume adventure', 'continue adventure', 'let's play', 'VN…

    374 GitHub stars~4.2k tokensUpdated 2 mo ago
    Auto-check passed

Categories

Questions about Observation

What does Observation do?

MUST use when user says 'survey project', 'scan project', 'check health', 'investigate', 'deep dive', 'what's going on in', 'look into', 'refine code', 'clean up code', 'review changes', 'sharpen'…. Observation is an agent skill from Kiyoraka/Project-AI-MemoryCore. MUST use when user says 'survey project', 'scan project', 'check health', 'investigate', 'deep dive', 'what's going on in', 'look into', 'refine code', 'clean up code', 'review changes', 'sharpen', 'audit system', 'full audit', 'show me everything', or when the AI needs to assess project health before planning, review code quality after implementation, or investigate a bug.

When should I use Observation?

Observation fits situations like: user says survey project; whats going on in; show me everything; the AI needs to assess project health before planning.

How do I install Observation in Claude Code?

Run `npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a claude-code`. Or copy the skill folder (Feature/Observation-System in Kiyoraka/Project-AI-MemoryCore) into .claude/skills/observation in your project. Claude Code loads it when a task matches its description.

How do I install Observation in Codex?

Run `npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a codex`. Or copy the skill folder (Feature/Observation-System in Kiyoraka/Project-AI-MemoryCore) into .agents/skills/observation in your project. Codex loads it when a task matches its description.

Can I use Observation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/observation, .gemini/skills/observation, .github/skills/observation and .opencode/skills/observation in your project.

What does Observation need to run?

Going by SKILL.md and its folder, Observation needs the command-line tools its instructions call (git, dotnet and npm). Our summary lists: Docker.

Does Observation access the network?

SKILL.md contains no URLs. Its commands use git and npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Observation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Observation use?

No licence was found for Observation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Observation use?

About 6.1k tokens (SKILL.md is roughly 25k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Observation?

Skills that share tags, products or a category with Observation: Dignified Python Standards (docling-project/docling, 69k stars), Clean Code Guard (amElnagdy/guard-skills, 1.3k stars), Maintainable Code for iPolloWork (Devin-AXIS/iPolloWork, 6.8k stars) and Over-Engineering Review (DietrichGebert/ponytail, 160k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Observation?

Kiyoraka (a GitHub user) maintains it in Kiyoraka/Project-AI-MemoryCore, which has 374 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on July 29, 2026.

Source: Kiyoraka/Project-AI-MemoryCore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.