Deepagents Planning Todos
soba-labs/langchain-agent-skills
Use the writetodos tool effectively for task planning and decomposition in Deep Agents.
Build a code-grounded implementation plan before coding. An agent skill from rapidaai/voice-ai.
Install System Understanding
$ npx skills add rapidaai/voice-ai --skill system-understanding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rapidaai/voice-ai system-understanding --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/rapidaai/voice-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/system-understanding .claude/skills/system-understanding && 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 "system-understanding" agent skill from https://github.com/rapidaai/voice-ai/tree/main/.claude/skills/system-understanding into .claude/skills/system-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-understanding", 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/rapidaai/voice-ai/tree/main/.claude/skills/system-understandingType 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 rapidaai/voice-ai --skill system-understanding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rapidaai/voice-ai system-understanding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rapidaai/voice-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/system-understanding .agents/skills/system-understanding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "system-understanding" agent skill from https://github.com/rapidaai/voice-ai/tree/main/.claude/skills/system-understanding into .agents/skills/system-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-understanding", 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 rapidaai/voice-ai --skill system-understanding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rapidaai/voice-ai system-understanding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rapidaai/voice-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/system-understanding .cursor/skills/system-understanding && 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 "system-understanding" agent skill from https://github.com/rapidaai/voice-ai/tree/main/.claude/skills/system-understanding into .cursor/skills/system-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-understanding", 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/rapidaai/voice-ai.git --path .claude/skills/system-understanding--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 rapidaai/voice-ai --skill system-understanding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rapidaai/voice-ai system-understanding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rapidaai/voice-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/system-understanding .gemini/skills/system-understanding && 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 "system-understanding" agent skill from https://github.com/rapidaai/voice-ai/tree/main/.claude/skills/system-understanding into .gemini/skills/system-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-understanding", 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 rapidaai/voice-ai system-understandingInstalls 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 rapidaai/voice-ai --skill system-understanding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rapidaai/voice-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/system-understanding .github/skills/system-understanding && 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 "system-understanding" agent skill from https://github.com/rapidaai/voice-ai/tree/main/.claude/skills/system-understanding into .github/skills/system-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-understanding", 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 rapidaai/voice-ai --skill system-understanding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rapidaai/voice-ai system-understanding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rapidaai/voice-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/system-understanding .opencode/skills/system-understanding && 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 "system-understanding" agent skill from https://github.com/rapidaai/voice-ai/tree/main/.claude/skills/system-understanding into .opencode/skills/system-understanding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-understanding", 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.
Facts
- Skill name
system-understanding- GitHub stars
- 744
- Token cost
- ~727 tokens
- SKILL.md length
- 259 words
- Files
- 4 (incl. scripts)
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Build a code-grounded implementation plan before coding. An agent skill from rapidaai/voice-ai.
- Trace packet flow
- SKILL.md covers Mission, Scope, Mandatory discovery sequence and Output requirements, plus 3 more sections
- Runs Shell scripts from its folder; calls rg
- Factory boundaries
What it does
System Understanding is an agent skill from rapidaai/voice-ai. Build a code-grounded implementation plan before coding. Use to trace packet flow, factory boundaries, provider config loading, and exact file-level change scope for a requested integration.
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `examples/sample.md`, `scripts/validate.sh` and `template.md`).
It sits in Agent Workflows, covering Planning and Speech recognition and synthesis. The repository describes itself as: Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel…
When your agent uses it
- Trace packet flow
- Factory boundaries
- Provider config loading
- Exact file-level change scope for a requested integration
Example prompts
- “/system-understanding”
Requirements
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 3c9caac. 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
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
rg
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
System Understanding loads about 727 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 259 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.
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 259 words (~727 tokens).
“Produce an executable, minimal-risk implementation plan from real code paths before changing feature logic.”
- name
- system-understanding
Files
SKILL.md and 3 other files (scripts) in .claude/skills/system-understanding of rapidaai/voice-ai.
- SKILL.md
- examples/sample.md
- scripts/validate.sh
- template.md
Open the folder on GitHubat commit 3c9caac
Compare with similar skills
System Understanding 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 |
|---|---|---|---|---|---|---|
| System Understanding this skillrapidaai/voice-ai | 744 | — | ~727 | Automated safety check: Pass | Custom licence | |
| Deepagents Planning Todossoba-labs/langchain-agent-skills | 107 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Famulor Skillaiskillstore/marketplace | 430 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Interview Meaddyosmani/agent-skills | 103k | 6 repos | ~3.8k | Automated safety check: Pass | MIT | |
| OpenSpec Guided OnboardingFission-AI/OpenSpec | 71k | 1 repos | ~4.5k | Automated safety check: Pass | MIT |
Similar skills
Famulor Skill
aiskillstore/marketplace
Operate a Famulor workspace through its hosted MCP server, including assistants, conversation history, campaigns, messaging, telephony, knowledge, dashboards, automations, billing, settings…
Executing Plans Inline
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
Interview Me
addyosmani/agent-skills
Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.
OpenSpec Guided Onboarding
Fission-AI/OpenSpec
Walks you through a complete OpenSpec workflow cycle with narration while doing real work in your codebase.
Writing Plans
geeksblabla/stateofdev.ma
A skill your agent uses when design is complete and you need detailed implementation tasks for engineers with zero codebase context - creates comprehensive implementation plans with exact file…
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Related
Categories
Questions about System Understanding
What does System Understanding do?
Build a code-grounded implementation plan before coding. An agent skill from rapidaai/voice-ai. System Understanding is an agent skill from rapidaai/voice-ai. Build a code-grounded implementation plan before coding.
When should I use System Understanding?
System Understanding fits situations like: trace packet flow; factory boundaries; provider config loading; exact file-level change scope for a requested integration.
How do I install System Understanding in Claude Code?
Run `npx skills add rapidaai/voice-ai --skill system-understanding -a claude-code`. Or copy the skill folder (.claude/skills/system-understanding in rapidaai/voice-ai) into .claude/skills/system-understanding in your project. Claude Code loads it when a task matches its description.
How do I install System Understanding in Codex?
Run `npx skills add rapidaai/voice-ai --skill system-understanding -a codex`. Or copy the skill folder (.claude/skills/system-understanding in rapidaai/voice-ai) into .agents/skills/system-understanding in your project. Codex loads it when a task matches its description.
Can I use System Understanding 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 rapidaai/voice-ai --skill system-understanding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/system-understanding, .gemini/skills/system-understanding, .github/skills/system-understanding and .opencode/skills/system-understanding in your project.
What does System Understanding need to run?
Going by SKILL.md and its folder, System Understanding needs a shell for the scripts in its folder and the command-line tools its instructions call (rg). Our summary lists: A Bash shell.
Does System Understanding access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is System Understanding 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does System Understanding use?
System Understanding has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does System Understanding use?
About 727 tokens (SKILL.md is roughly 2.9k 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 System Understanding?
Skills that share tags, products or a category with System Understanding: Deepagents Planning Todos (soba-labs/langchain-agent-skills, 107 stars), Famulor Skill (aiskillstore/marketplace, 430 stars), Executing Plans Inline (obra/superpowers, 296k stars) and Interview Me (addyosmani/agent-skills, 103k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains System Understanding?
rapidaai (a GitHub organization) maintains it in rapidaai/voice-ai, which has 744 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 6, 2026.
Source: rapidaai/voice-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.