Agent skill

Secretary

Workspace and research management. An agent skill from ginlix-ai/LangAlpha.

Apache-2.0Auto-check passed

Install Secretary

skills CLI

$ npx skills add ginlix-ai/LangAlpha --skill secretary -a claude-code

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

GitHub CLI

$ gh skill install ginlix-ai/LangAlpha secretary --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/ginlix-ai/LangAlpha.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/langalpha_service/skills/secretary .claude/skills/secretary && 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/

Paste into Claude Code

Install the "secretary" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/secretary into .claude/skills/secretary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "secretary", 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

$skill-installer install https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/secretary

Type 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.

skills CLI

$ npx skills add ginlix-ai/LangAlpha --skill secretary -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ginlix-ai/LangAlpha secretary --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/langalpha_service/skills/secretary .agents/skills/secretary && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "secretary" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/secretary into .agents/skills/secretary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "secretary", 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.

skills CLI

$ npx skills add ginlix-ai/LangAlpha --skill secretary -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ginlix-ai/LangAlpha secretary --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/langalpha_service/skills/secretary .cursor/skills/secretary && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "secretary" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/secretary into .cursor/skills/secretary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "secretary", 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

$ gemini skills install https://github.com/ginlix-ai/LangAlpha.git --path plugins/langalpha_service/skills/secretary

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ginlix-ai/LangAlpha --skill secretary -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ginlix-ai/LangAlpha secretary --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/langalpha_service/skills/secretary .gemini/skills/secretary && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "secretary" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/secretary into .gemini/skills/secretary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "secretary", 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.

GitHub CLI

$ gh skill install ginlix-ai/LangAlpha secretary

Installs 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).

skills CLI

$ npx skills add ginlix-ai/LangAlpha --skill secretary -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/langalpha_service/skills/secretary .github/skills/secretary && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "secretary" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/secretary into .github/skills/secretary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "secretary", 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.

skills CLI

$ npx skills add ginlix-ai/LangAlpha --skill secretary -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ginlix-ai/LangAlpha secretary --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/langalpha_service/skills/secretary .opencode/skills/secretary && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "secretary" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/secretary into .opencode/skills/secretary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "secretary", 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: secretary
GitHub stars: 1.8k
Token cost: ~985 tokens
SKILL.md length: 472 words
Files: 1
Skills in repo: 37
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Workspace and research management. An agent skill from ginlix-ai/LangAlpha.

Works in 3 steps: Call manage_workspaces(action="list") to… → Call manage_threads(action="list") to… → Present a concise summary: running…
SKILL.md covers Operational Details and Workflow Patterns
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Secretary is an agent skill from ginlix-ai/LangAlpha. Workspace and research management. Dispatch analyses, monitor running agents, manage workspaces and threads.

Its SKILL.md is about 990 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: Claude Code for Financial Market. The licence is Apache-2.0.

Example prompts

“/secretary”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Call manage_workspaces(action="list") to get workspace states
Call manage_threads(action="list") to get recent thread activity
Present a concise summary: running analyses, recently completed work, workspace count

What it can do on your machine

Read from SKILL.md and the folder at commit 2855e43. 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

Secretary loads about 985 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 472 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~30
When it runs · the whole SKILL.md, loaded when a task matches: ~985

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

The full file from ginlix-ai/LangAlpha at commit 2855e43, republished under its Apache-2.0 licence (© ginlix-ai). 472 words, ~985 tokens.

Download SKILL.mdSave it as .claude/skills/secretary/SKILL.md (or your agent's skills folder).

name: secretary
description: Workspace and research management. Dispatch analyses, monitor running agents, manage workspaces and threads.

Secretary Skill

Workflow patterns and operational details for the secretary tools. Basic tool signatures are in the tool descriptions — this covers what they don't.

Operational Details

HITL approval

These actions pause for user confirmation before executing:

manage_workspaces(action="create"|"delete")
ptc_agent(...) — always, before dispatch
manage_threads(action="delete")

These run immediately (no approval):

manage_workspaces(action="list")
manage_threads(action="list"|"get_output")
agent_output(...)

ptc_agent dispatch

ptc_agent is asynchronous — it dispatches the question and returns immediately. The PTC agent runs in the background with full code execution, charts, and financial data tools.

Return: { success, workspace_id, thread_id, status: "dispatched", report_back }

Omit workspace_id → auto-creates a new workspace (blocks ~8-10s for sandbox init)
Pass workspace_id → dispatches to existing workspace (new thread)
Pass thread_id → continues an existing conversation (overrides workspace_id)
report_back=True (default) → when PTC completes, you'll automatically receive the results and should summarize them for the user
report_back=False → fire-and-forget; the user will check results in the workspace themselves
The returned report_back field is authoritative, not an echo of your request: it can come back false even when you asked for true (degraded backend). If it does, results will NOT arrive automatically — poll with agent_output.
Concurrency caps (report-back dispatches only): at most 5 pending analyses per conversation and 10 per user. Over the cap the dispatch fails with an error starting "too many concurrent analyses" — wait for one to finish, or dispatch with report_back=False.

Use the returned thread_id with agent_output to check progress later (only needed when the returned report_back is false).

agent_output

Return: { text, status, thread_id, workspace_id }

status: "running" — analysis still in progress, text is partial
status: "completed" — full output available
status: "error" — something went wrong

turns window (also on manage_threads(action="get_output")): by default you get only the latest turn's output. For a thread continued several times, pass turns=N for the last N turns or turns=0 for recent history (up to the 50 most recent turns) — turns come back oldest→newest, separated by ---. A still-streaming turn always returns just that live turn, regardless of turns.

Show full SKILL.md (157 more words)Show less

Workflow Patterns

"What's going on?" — Status overview

When the user asks for a status overview, combine workspace and thread information:

Call manage_workspaces(action="list") to get workspace states
Call manage_threads(action="list") to get recent thread activity
Present a concise summary: running analyses, recently completed work, workspace count

Dispatch + Monitor — Full research cycle

User asks a complex question → call ptc_agent(question="...")
User asks "what happened?" or "is it done?" → call agent_output(thread_id="...")
Summarize the key findings concisely

Continue an existing analysis

When the user wants to follow up on a prior dispatch:

Call ptc_agent(question="...", thread_id="...") with the original thread_id
The PTC agent continues in the same thread with full prior context
To review the whole conversation (not just the newest answer), read it back with agent_output(thread_id="...", turns=0)

Workspace cleanup

When the user wants to tidy up:

Call manage_workspaces(action="list") to identify stale workspaces
Delete workspaces the user no longer needs with manage_workspaces(action="delete", workspace_id="...")

Files

Just SKILL.md in plugins/langalpha_service/skills/secretary of ginlix-ai/LangAlpha.

Open the folder on GitHubat commit 2855e43

Compare with similar skills

Secretary 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.

Secretary compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Secretary this skillginlix-ai/LangAlpha	1.8k	—	~985	Automated safety check: Pass	Apache-2.0	yesterday
Dispatchsickn33/agentic-awesome-skills	47k	1 repos	~2.1k	Automated safety check: Pass	MIT	2 days ago
Qdrant Monitoringgithub/awesome-copilot	40k	1 repos	~276	Automated safety check: Pass	MIT	2 days ago
Monitoring Capture ServicePostHog/posthog	40k	—	~5k	Automated safety check: Pass	Custom licence	yesterday
Monitoring Ingestion PipelinePostHog/posthog	40k	—	~9.1k	Automated safety check: Pass	Custom licence	yesterday
Agent Performance Monitorruvnet/ruflo	74k	2 repos	~4.9k	Automated safety check: Pass	MIT	yesterday

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Questions about Secretary

What does Secretary do?

Workspace and research management. An agent skill from ginlix-ai/LangAlpha. Secretary is an agent skill from ginlix-ai/LangAlpha. Workspace and research management.

How do I install Secretary in Claude Code?

Run `npx skills add ginlix-ai/LangAlpha --skill secretary -a claude-code`. Or copy the skill folder (plugins/langalpha_service/skills/secretary in ginlix-ai/LangAlpha) into .claude/skills/secretary in your project. Claude Code loads it when a task matches its description.

How do I install Secretary in Codex?

Run `npx skills add ginlix-ai/LangAlpha --skill secretary -a codex`. Or copy the skill folder (plugins/langalpha_service/skills/secretary in ginlix-ai/LangAlpha) into .agents/skills/secretary in your project. Codex loads it when a task matches its description.

Can I use Secretary 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 ginlix-ai/LangAlpha --skill secretary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/secretary, .gemini/skills/secretary, .github/skills/secretary and .opencode/skills/secretary in your project.

What does Secretary need to run?

SKILL.md names no scripts, command-line tools or credentials: Secretary is instructions for the agent only.

Does Secretary 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 Secretary 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 Secretary use?

Secretary 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.

How many tokens does Secretary use?

About 985 tokens (SKILL.md is roughly 3.9k 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 Secretary?

Skills that share tags, products or a category with Secretary: Dispatch (sickn33/agentic-awesome-skills, 47k stars), Qdrant Monitoring (github/awesome-copilot, 40k stars), Monitoring Capture Service (PostHog/posthog, 40k stars) and Monitoring Ingestion Pipeline (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Secretary?

ginlix-ai (a GitHub organization) maintains it in ginlix-ai/LangAlpha, which has 1,811 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 10, 2026.

Source: ginlix-ai/LangAlpha on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Secretary

Facts

At a glance

What it does

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Secretary Skill

Operational Details

HITL approval

ptc_agent dispatch

agent_output

Workflow Patterns

"What's going on?" — Status overview

Dispatch + Monitor — Full research cycle

Continue an existing analysis

Workspace cleanup

Files

Compare with similar skills

Similar skills

More from ginlix-ai/LangAlpha

Questions about Secretary