Reflect
alirezarezvani/claude-skills
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias.
Refresh the raytsystem code graph so it reflects every current file.
$ npx skills add romarayt/raytsystem-public-os --skill graph -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --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/romarayt/raytsystem-public-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/graph .claude/skills/graph && 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 "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/.agents/skills/graph into .claude/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", 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/romarayt/raytsystem-public-os/tree/main/.agents/skills/graphType 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 romarayt/raytsystem-public-os --skill graph -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/graph .agents/skills/graph && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/.agents/skills/graph into .agents/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", 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 romarayt/raytsystem-public-os --skill graph -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/graph .cursor/skills/graph && 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 "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/.agents/skills/graph into .cursor/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", 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/romarayt/raytsystem-public-os.git --path .agents/skills/graph--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 romarayt/raytsystem-public-os --skill graph -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/graph .gemini/skills/graph && 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 "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/.agents/skills/graph into .gemini/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", 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 romarayt/raytsystem-public-os graphInstalls 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 romarayt/raytsystem-public-os --skill graph -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/graph .github/skills/graph && 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 "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/.agents/skills/graph into .github/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", 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 romarayt/raytsystem-public-os --skill graph -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/graph .opencode/skills/graph && 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 "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/.agents/skills/graph into .opencode/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", 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.
graphRefresh the raytsystem code graph so it reflects every current file.
Graph is an agent skill from romarayt/raytsystem-public-os. Refresh the raytsystem code graph so it reflects every current file. Use for "graph", "обнови граф", "перестрой граф", "актуализируй граф", "update the graph".
Its SKILL.md is about 170 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Local-first agent workspace for knowledge, tasks, documents and verifiable workflows · Локальная агентная система для знаний, задач и проверяемых процессов · t.me/romarayt. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b5ac705. 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:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, 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.
Graph loads about 174 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 75 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.
The full file from romarayt/raytsystem-public-os at commit b5ac705, republished under its Apache-2.0 licence (© romarayt). 75 words, ~174 tokens.
.claude/skills/graph/SKILL.md (or your agent's skills folder).Bring the raytsystem code graph up to date so it reflects every current file. It writes only the
disposable .raytsystem/graph/ plane and never mutates canonical knowledge.
uv run raytsystem graph status --json.uv run raytsystem graph update --json (incremental — handles changed and deleted files),
or uv run raytsystem graph rebuild --json for a full rebuild if the graph is missing.state is current and report the node/edge/file counts.© romarayt, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/graph of romarayt/raytsystem-public-os.
Open the folder on GitHubat commit b5ac705
Graph 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 |
|---|---|---|---|---|---|---|
| Graph this skillromarayt/raytsystem-public-os | 150 | — | ~174 | Automated safety check: Pass | Apache-2.0 | |
| Reflectalirezarezvani/claude-skills | 28k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Graphagenticnotetaking/arscontexta | 3.5k | 1 repos | ~4.9k | Automated safety check: Notes | MIT | |
| Bigquery Graphgoogle/adk-python | 22k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Code Review Graph Buildertirth8205/code-review-graph | 32k | — | ~295 | Automated safety check: Pass | MIT | |
| Mini Context Graphgithub/awesome-copilot | 40k | 1 repos | ~2k | Automated safety check: Pass | MIT |
alirezarezvani/claude-skills
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias.
agenticnotetaking/arscontexta
Interactive knowledge graph analysis. An agent skill from agenticnotetaking/arscontexta.
google/adk-python
Skill for Graph Query Language (GQL) or SQL/PGQ queries against a property graph.
tirth8205/code-review-graph
Builds or incrementally updates the code-review knowledge graph for a repository and reports whether the build succeeded, partly or failed.
github/awesome-copilot
A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph.
atopile/atopile
How the Zig-backed instance graph works (GraphView/NodeReference/EdgeReference), the real Python API surface, and the invariants around allocation, attributes, and cleanup.
romarayt/raytsystem-public-os
Refresh the raytsystem code graph so it reflects every current file, then confirm it is up to date.
romarayt/raytsystem-public-os
Get raytsystem running in a repository — install it if needed, then launch the interface.
romarayt/raytsystem-public-os
Inspect video, audio, or supplied transcripts through raytsystem Tool Hub and return evidence-bound speech, visual, OCR, action, transition, and timeline findings.
romarayt/raytsystem-public-os
Capture, normalize, propose, validate, and safely promote workspace-local Markdown, text, JSON/JSONL, CSV/TSV, images, or text-bearing PDFs into raytsystem.
romarayt/raytsystem-public-os
Run deterministic integrity, provenance, projection, link, alias, operation, and secret checks over raytsystem.
romarayt/raytsystem-public-os
Answer questions from the active raytsystem generation using local FTS5 retrieval, canonical record rehydration, verified source spans, and explicit gaps.
Refresh the raytsystem code graph so it reflects every current file. Graph is an agent skill from romarayt/raytsystem-public-os. Refresh the raytsystem code graph so it reflects every current file.
Graph fits situations like: Актуализируй граф; update the graph.
Run `npx skills add romarayt/raytsystem-public-os --skill graph -a claude-code`. Or copy the skill folder (.agents/skills/graph in romarayt/raytsystem-public-os) into .claude/skills/graph in your project. Claude Code loads it when a task matches its description.
Run `npx skills add romarayt/raytsystem-public-os --skill graph -a codex`. Or copy the skill folder (.agents/skills/graph in romarayt/raytsystem-public-os) into .agents/skills/graph 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 romarayt/raytsystem-public-os --skill graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graph, .gemini/skills/graph, .github/skills/graph and .opencode/skills/graph in your project.
Going by SKILL.md and its folder, Graph needs the command-line tools its instructions call (uv).
SKILL.md contains no URLs. Its commands use uv, 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.
Graph is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 174 tokens (SKILL.md is roughly 696 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 Graph: Reflect (alirezarezvani/claude-skills, 28k stars), Graph (agenticnotetaking/arscontexta, 3.5k stars), Bigquery Graph (google/adk-python, 22k stars) and Code Review Graph Builder (tirth8205/code-review-graph, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
romarayt (a GitHub user) maintains it in romarayt/raytsystem-public-os, which has 150 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 1, 2026.
Source: romarayt/raytsystem-public-os on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.