Agent skill

Discussion

by samchon in samchon/nestia

Runs structured multi-agent discussions for open-ended nestia topics.

MITAuto-check passedAgent Workflows

Install Discussion

skills CLI
$ npx skills add samchon/nestia --skill discussion -a claude-code

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

GitHub CLI
$ gh skill install samchon/nestia discussion --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/samchon/nestia.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/discussion .claude/skills/discussion && 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/

Facts

Skill name
discussion
GitHub stars
2.2k
Token cost
~424 tokens
SKILL.md length
197 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Runs structured multi-agent discussions for open-ended nestia topics.

  • Explicitly asks for Discussion
  • SKILL.md covers Team, Knowledge Base and Transcript
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • A team debate with transcripts and conclusions

What it does

Discussion is an agent skill from samchon/nestia. Runs structured multi-agent discussions for open-ended nestia topics. Use only when the user explicitly asks for Discussion or a team debate with transcripts and conclusions; do not use for Self-Review, a solo or multi-agent review, research review, or issue discovery.

Its SKILL.md is about 420 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. The repository describes itself as: NestJS Helper + AI Chatbot Development. The licence is MIT.

When your agent uses it

  • Explicitly asks for Discussion
  • A team debate with transcripts and conclusions
  • Do not use for Self-Review
  • Multi-agent review

Example prompts

  • “/discussion”

What it can do on your machine

Read from SKILL.md and the folder at commit d3627e8. 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

Discussion loads about 424 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 197 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~424

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 samchon/nestia at commit d3627e8, republished under its MIT licence (© samchon). 197 words, ~424 tokens.

Download SKILL.mdSave it as .claude/skills/discussion/SKILL.md (or your agent's skills folder).
name
discussion
description
Runs structured multi-agent discussions for open-ended nestia topics. Use only when the user explicitly asks for Discussion or a team debate with transcripts and conclusions; do not use for Self-Review, a solo or multi-agent review, research review, or issue discovery.

Discussion

Discussion explores a topic without changing code or turning the exchange into a review queue. Reviews and issue discovery use the review skill instead.

Team

Form the largest practical team, up to nine agents so the lead and participants fit the ten-agent session limit. Give every agent a self-contained brief with the topic, constraints, known evidence, output expectations, and the exact repository instructions and skills to read. Do not give a preferred conclusion or divide the topic into assigned slices.

Knowledge Base

Create .discussions/<topic>/ with a short filesystem-safe name. Do not delete or overwrite an existing discussion directory unless the user explicitly requests it.

Each agent maintains a personal wiki-style subdirectory under the topic directory. Agents read the live transcript and one another's statements between turns, continue researching, and revise their own notes.

Transcript

Run three unrestricted transcript rounds as round1.md, round2.md, and round3.md. The lead moderates and records every statement in speaking order as a live transcript, not a retrospective summary. Do not narrow the topic unless the user does.

After round3.md, the lead writes agreed conclusions, disagreements, and major open points to summary.md, reports the result, and waits. Discussion does not itself authorize implementation.

© samchon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/discussion of samchon/nestia.

Open the folder on GitHubat commit d3627e8

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in samchon/nestia, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Discussion 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.

Discussion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Discussion this skillsamchon/nestia2.2k—~424Automated safety check: PassMIT
Dhub CLIpymc-labs/decision-hub104—~3.8kAutomated safety check: WarnMIT
Agent ToolsVectorSpaceLab/AREX-Skill328—~1.2kAutomated safety check: PassCustom licence
Famulor Skillaiskillstore/marketplace430—~2.4kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0

Similar skills

  • Dhub CLI

    pymc-labs/decision-hub

    Guide for using the dhub CLI — the AI skill manager for data science agents.

    104 GitHub stars~3.8k tokensUpdated 1 mo ago
    Agent WorkflowsAuto-check: warnings
  • Agent Tools

    VectorSpaceLab/AREX-Skill

    A skill your agent uses when configuring LiteLLM for MCP tools, A2A agents, Claude Code/Cursor agent gateway traffic, MCP auth/OAuth, tool permissions, semantic filtering, or agent-specific proxy…

    328 GitHub stars~1.2k tokensUpdated 1 mo ago
    Agent WorkflowsAuto-check passed
  • 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…

    430 GitHub stars~2.4k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • MCP Server Builder

    anthropics/skills

    Official

    Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.

    180k GitHub starsUsed in 64 repos~2.3k tokens
    Agent WorkflowsAuto-check passed
  • Claude Code Agent Development

    anthropics/claude-plugins-official

    Official

    Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.

    38k GitHub starsUsed in 8 repos~2.8k tokens
    Agent WorkflowsAuto-check passed
  • MCP Server Builder

    shareAI-lab/learn-claude-code

    Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.

    78k GitHub starsUsed in 5 repos~1.2k tokens
    Agent WorkflowsAuto-check passed

More from samchon/nestia

All 10 skills in this repo
  • Project

    samchon/nestia

    Defines the nestia product contract, workspace layout, package boundaries, the Go plugin composition model, and canonical commands.

    2.2k GitHub stars~3k tokensUpdated yesterday
    Auto-check passed
  • Contracts

    samchon/nestia

    Defines self-acknowledgments for production declarations and tests.

    2.2k GitHub stars~1.3k tokensUpdated yesterday
    Auto-check passed
  • Issue Campaign

    samchon/nestia

    Defines the default solo repository-wide issue campaign for nestia: exhaustive discovery, lead-vetted issue publication, one unified CI-validated implementation pull request per cycle, solo…

    2.2k GitHub stars~3k tokensUpdated yesterday
    Auto-check passed
  • Pull Request

    samchon/nestia

    Defines nestia branch, commit, pull-request, check, and merge workflows.

    2.2k GitHub stars~1.6k tokensUpdated yesterday
    Auto-check passed
  • Review

    samchon/nestia

    Defines exhaustive solo review, Self-Review, and solo repository-wide issue-discovery rounds for nestia.

    2.2k GitHub stars~2.1k tokensUpdated yesterday
    Auto-check passed
  • Development

    samchon/nestia

    Defines nestia implementation rules, testing standards, validation, consequence analysis, and change integrity.

    2.2k GitHub stars~5.4k tokensUpdated yesterday
    Auto-check: notes

Questions about Discussion

What does Discussion do?

Runs structured multi-agent discussions for open-ended nestia topics. Discussion is an agent skill from samchon/nestia. Runs structured multi-agent discussions for open-ended nestia topics.

When should I use Discussion?

Discussion fits situations like: explicitly asks for Discussion; A team debate with transcripts and conclusions; do not use for Self-Review; multi-agent review.

How do I install Discussion in Claude Code?

Run `npx skills add samchon/nestia --skill discussion -a claude-code`. Or copy the skill folder (.agents/skills/discussion in samchon/nestia) into .claude/skills/discussion in your project. Claude Code loads it when a task matches its description.

How do I install Discussion in Codex?

Run `npx skills add samchon/nestia --skill discussion -a codex`. Or copy the skill folder (.agents/skills/discussion in samchon/nestia) into .agents/skills/discussion in your project. Codex loads it when a task matches its description.

Can I use Discussion 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 samchon/nestia --skill discussion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discussion, .gemini/skills/discussion, .github/skills/discussion and .opencode/skills/discussion in your project.

What does Discussion need to run?

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

Does Discussion 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 Discussion 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 Discussion use?

Discussion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Discussion use?

About 424 tokens (SKILL.md is roughly 1.7k 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 Discussion?

Skills that share tags, products or a category with Discussion: Dhub CLI (pymc-labs/decision-hub, 104 stars), Agent Tools (VectorSpaceLab/AREX-Skill, 328 stars), Famulor Skill (aiskillstore/marketplace, 430 stars) and MCP Server Builder (anthropics/skills, 180k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Discussion?

samchon (a GitHub user) maintains it in samchon/nestia, which has 2,179 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 7, 2026.

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