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.
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'…
$ npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore observation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "observation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Observation-System into .claude/skills/observation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Observation-SystemType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore observation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Feature/Observation-System .agents/skills/observation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "observation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Observation-System into .agents/skills/observation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore observation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Feature/Observation-System .cursor/skills/observation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "observation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Observation-System into .cursor/skills/observation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Kiyoraka/Project-AI-MemoryCore.git --path Feature/Observation-System--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore observation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Feature/Observation-System .gemini/skills/observation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "observation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Observation-System into .gemini/skills/observation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Kiyoraka/Project-AI-MemoryCore observationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .github/skills && cp -r skills-src/Feature/Observation-System .github/skills/observation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "observation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Observation-System into .github/skills/observation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Kiyoraka/Project-AI-MemoryCore --skill observation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore observation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Feature/Observation-System .opencode/skills/observation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "observation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Observation-System into .opencode/skills/observation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "observation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
observationMUST 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. 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.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c421b55. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
gitdotnetnpmFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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."”
SKILL.md and 1 other file in Feature/Observation-System of Kiyoraka/Project-AI-MemoryCore.
Open the folder on GitHubat commit c421b55
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Observation this skillKiyoraka/Project-AI-MemoryCore | 374 | — | ~6.1k | Automated safety check: Pass | None | |
| Dignified Python Standardsdocling-project/docling | 69k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Clean Code GuardamElnagdy/guard-skills | 1.3k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Maintainable Code for iPolloWorkDevin-AXIS/iPolloWork | 6.8k | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Over-Engineering ReviewDietrichGebert/ponytail | 160k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Cyclomatic Complexitysaurabhkumar8112/cyclomatic-complexity-skill | 405 | — | ~761 | Automated safety check: Pass | Apache-2.0 |
docling-project/docling
Applies opinionated production Python conventions chosen by the project's Python version: modern type syntax, pathlib, explicit checks and interface guidance.
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.
Devin-AXIS/iPolloWork
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.
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.
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.
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.
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).
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.
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…
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…
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'…
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…
Categories
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.
Observation fits situations like: user says survey project; whats going on in; show me everything; the AI needs to assess project health before planning.
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.
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.
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.
Going by SKILL.md and its folder, Observation needs the command-line tools its instructions call (git, dotnet and npm). Our summary lists: Docker.
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.
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.
No licence was found for Observation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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.
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.
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.