Tavily Web Search
allenpeng0705/EnvoyMesh
Searches the web through the Tavily API with LLM-friendly output: clean structured results, optional AI-written answers, domain filters, news mode, images and raw content.
Enter "plan mode" for a deep-research or article-writing task — search the web, fetch sources, optionally run experiments in Python/Node, design one recommended outline and research strategy, then…
Install Deep Research Plan
$ npx skills add MagicCube/helixent --skill deep-research-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MagicCube/helixent deep-research-plan --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/MagicCube/helixent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deep-research-plan .claude/skills/deep-research-plan && 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 "deep-research-plan" agent skill from https://github.com/MagicCube/helixent/tree/main/skills/deep-research-plan into .claude/skills/deep-research-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-plan", 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/MagicCube/helixent/tree/main/skills/deep-research-planType 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 MagicCube/helixent --skill deep-research-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MagicCube/helixent deep-research-plan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MagicCube/helixent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/deep-research-plan .agents/skills/deep-research-plan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deep-research-plan" agent skill from https://github.com/MagicCube/helixent/tree/main/skills/deep-research-plan into .agents/skills/deep-research-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-plan", 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 MagicCube/helixent --skill deep-research-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MagicCube/helixent deep-research-plan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MagicCube/helixent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/deep-research-plan .cursor/skills/deep-research-plan && 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 "deep-research-plan" agent skill from https://github.com/MagicCube/helixent/tree/main/skills/deep-research-plan into .cursor/skills/deep-research-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-plan", 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/MagicCube/helixent.git --path skills/deep-research-plan--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 MagicCube/helixent --skill deep-research-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MagicCube/helixent deep-research-plan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MagicCube/helixent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/deep-research-plan .gemini/skills/deep-research-plan && 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 "deep-research-plan" agent skill from https://github.com/MagicCube/helixent/tree/main/skills/deep-research-plan into .gemini/skills/deep-research-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-plan", 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 MagicCube/helixent deep-research-planInstalls 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 MagicCube/helixent --skill deep-research-plan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MagicCube/helixent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/deep-research-plan .github/skills/deep-research-plan && 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 "deep-research-plan" agent skill from https://github.com/MagicCube/helixent/tree/main/skills/deep-research-plan into .github/skills/deep-research-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-plan", 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 MagicCube/helixent --skill deep-research-plan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MagicCube/helixent deep-research-plan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MagicCube/helixent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/deep-research-plan .opencode/skills/deep-research-plan && 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 "deep-research-plan" agent skill from https://github.com/MagicCube/helixent/tree/main/skills/deep-research-plan into .opencode/skills/deep-research-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deep-research-plan", 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
deep-research-plan- GitHub stars
- 680
- Token cost
- ~2.1k tokens
- SKILL.md length
- 895 words
- Files
- 1
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- None found
At a glance
Enter "plan mode" for a deep-research or article-writing task — search the web, fetch sources, optionally run experiments in Python/Node, design one recommended outline and research strategy, then…
- Works in 4 steps: Topic Scoping → Source and Experiment Strategy → Review → …
- The user says plan mode
- SKILL.md covers Hard constraint: plan-only, Phase 1 — Topic Scoping, Phase 2 — Source and… and Phase 3 — Review, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Deep Research Plan is an agent skill from MagicCube/helixent. Enter "plan mode" for a deep-research or article-writing task — search the web, fetch sources, optionally run experiments in Python/Node, design one recommended outline and research strategy, then write a plain, scannable plans/<prefix-<short-kebab-name.md file. No article content is drafted in this mode. Use this skill whenever the user says "plan mode", "/deep-research-plan", "make a research plan", "draft a research outline", "plan my article", "let's plan this research", "think before you write", "give me a…
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Planning, Deep research and Blog and article writing. It works with Python. The repository describes itself as: Helixent is a small library for building ReAct-style AI agent loops based on the Bun stack.
When your agent uses it
- The user says plan mode
- /deep-research-plan
- Make a research plan
- Draft a research outline
Example prompts
- “plan mode”
- “/deep-research-plan”
- “make a research plan”
- “/deep-research-plan”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Topic Scoping
- Source and Experiment Strategy
- Review
- Write plans/.md
What it can do on your machine
Read from SKILL.md and the folder at commit 5cc1fb3. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Deep Research Plan loads about 2.1k tokens when it runs. Until then it costs about 212 tokens; SKILL.md has 895 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); 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 895 words (~2,089 tokens).
“A read-and-search-only, 4-phase workflow for deep-research and article-writing tasks. Output is a single plans/.md file that a teammate can scan in 30 seconds before saying "go".”
- name
- deep-research-plan
Files
Just SKILL.md in skills/deep-research-plan of MagicCube/helixent.
Open the folder on GitHubat commit 5cc1fb3
Compare with similar skills
Deep Research Plan 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 |
|---|---|---|---|---|---|---|
| Deep Research Plan this skillMagicCube/helixent | 680 | — | ~2.1k | Automated safety check: Pass | None | |
| Tavily Web Searchallenpeng0705/EnvoyMesh | 3.1k | 4 repos | ~2.5k | Automated safety check: Notes | None | |
| Perplexity SearchescapeWu/perplexity-ai | 169 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Ray Trend Searchimraywang/rayskills | 160 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Argo Search and Verificationtaxueseek/argo | 184 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Plan Previewu-ichi/reviewable-html-workbench | 298 | 1 repos | ~1.8k | Automated safety check: Pass | MIT |
Similar skills
Perplexity Search
escapeWu/perplexity-ai
Searches the live web with citations through perplexity-mcp v2 tools or a bundled Python REST client, with focused ask, deep research and detached tasks.
Ray Trend Search
imraywang/rayskills
Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links.
Argo Search and Verification
taxueseek/argo
Unified web search, page fetching and evidence checking across hundreds of sources, with result verification, a research-dossier mode and vertical search engines.
Plan Preview
u-ichi/reviewable-html-workbench
Plan Mode の <proposedplan を出す直前に、計画の段階・依存関係・検証観点を一時HTMLで視覚確認したい時に使う agent-internal skill。Use this agent-internal skill to create a temporary HTML preview for a plan just before presenting…
Plan
owainlewis/youtube-tutorials
Write a short implementation plan or a longer execution plan before coding.
More from MagicCube/helixent
Coding Plan
MagicCube/helixent
Enter "plan mode" for a coding task — read the relevant code, optionally ask clarifying questions, design one recommended approach, then write a plain, scannable plans/<prefix-<short-kebab-name.md…
Related
Works with
Categories
Questions about Deep Research Plan
What does Deep Research Plan do?
Enter "plan mode" for a deep-research or article-writing task — search the web, fetch sources, optionally run experiments in Python/Node, design one recommended outline and research strategy, then…. Deep Research Plan is an agent skill from MagicCube/helixent.md file.
When should I use Deep Research Plan?
Deep Research Plan fits situations like: the user says plan mode; /deep-research-plan; make a research plan; draft a research outline.
How do I install Deep Research Plan in Claude Code?
Run `npx skills add MagicCube/helixent --skill deep-research-plan -a claude-code`. Or copy the skill folder (skills/deep-research-plan in MagicCube/helixent) into .claude/skills/deep-research-plan in your project. Claude Code loads it when a task matches its description.
How do I install Deep Research Plan in Codex?
Run `npx skills add MagicCube/helixent --skill deep-research-plan -a codex`. Or copy the skill folder (skills/deep-research-plan in MagicCube/helixent) into .agents/skills/deep-research-plan in your project. Codex loads it when a task matches its description.
Can I use Deep Research Plan 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 MagicCube/helixent --skill deep-research-plan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deep-research-plan, .gemini/skills/deep-research-plan, .github/skills/deep-research-plan and .opencode/skills/deep-research-plan in your project.
What does Deep Research Plan need to run?
SKILL.md names no scripts, command-line tools or credentials: Deep Research Plan is instructions for the agent only. Our summary lists: Python 3.
Does Deep Research Plan 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 Deep Research Plan 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 Deep Research Plan use?
No licence was found for Deep Research Plan or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Deep Research Plan use?
About 2.1k tokens (SKILL.md is roughly 8.4k 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 Deep Research Plan?
Skills that share tags, products or a category with Deep Research Plan: Tavily Web Search (allenpeng0705/EnvoyMesh, 3.1k stars), Perplexity Search (escapeWu/perplexity-ai, 169 stars), Ray Trend Search (imraywang/rayskills, 160 stars) and Argo Search and Verification (taxueseek/argo, 184 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deep Research Plan?
MagicCube (a GitHub user) maintains it in MagicCube/helixent, which has 680 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on May 21, 2026.
Source: MagicCube/helixent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.