Vibe Coding Partner
shareAI-lab/Kode-CLI
Gives an agent a set of working rules for any development task: understand first, surface decisions, verify results, and load deeper reference files per scenario.
Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.
$ npx skills add mindfold-ai/Trellis --skill trellis-channel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mindfold-ai/Trellis trellis-channel --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/mindfold-ai/Trellis.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.pi/skills/trellis-channel .claude/skills/trellis-channel && 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 "trellis-channel" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-channel into .claude/skills/trellis-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-channel", 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/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-channelType 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 mindfold-ai/Trellis --skill trellis-channel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mindfold-ai/Trellis trellis-channel --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mindfold-ai/Trellis.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.pi/skills/trellis-channel .agents/skills/trellis-channel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trellis-channel" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-channel into .agents/skills/trellis-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-channel", 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 mindfold-ai/Trellis --skill trellis-channel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mindfold-ai/Trellis trellis-channel --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mindfold-ai/Trellis.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.pi/skills/trellis-channel .cursor/skills/trellis-channel && 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 "trellis-channel" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-channel into .cursor/skills/trellis-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-channel", 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/mindfold-ai/Trellis.git --path .pi/skills/trellis-channel--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 mindfold-ai/Trellis --skill trellis-channel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mindfold-ai/Trellis trellis-channel --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mindfold-ai/Trellis.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.pi/skills/trellis-channel .gemini/skills/trellis-channel && 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 "trellis-channel" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-channel into .gemini/skills/trellis-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-channel", 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 mindfold-ai/Trellis trellis-channelInstalls 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 mindfold-ai/Trellis --skill trellis-channel -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mindfold-ai/Trellis.git skills-src && mkdir -p .github/skills && cp -r skills-src/.pi/skills/trellis-channel .github/skills/trellis-channel && 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 "trellis-channel" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-channel into .github/skills/trellis-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-channel", 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 mindfold-ai/Trellis --skill trellis-channel -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mindfold-ai/Trellis trellis-channel --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mindfold-ai/Trellis.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.pi/skills/trellis-channel .opencode/skills/trellis-channel && 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 "trellis-channel" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-channel into .opencode/skills/trellis-channel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-channel", 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.
trellis-channelUse Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.
Trellis Channel is an agent skill from mindfold-ai/Trellis. Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/command-reference.md`, `references/forum.md` and `references/progress-debugging.md`).
It sits in Development, covering Debugging. The repository describes itself as: The best agent harness. The licence is AGPL-3.0.
Read from SKILL.md and the folder at commit f089cb3. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Trellis Channel loads about 1.2k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 544 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 mindfold-ai/Trellis at commit f089cb3, republished under its AGPL-3.0 licence (© mindfold-ai). 544 words, ~1,196 tokens.
.claude/skills/trellis-channel/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.trellis channel is the local multi-agent collaboration runtime. Reach for it when agents need to talk through a durable event log, when a worker should be spawned as a peer process, when an in-flight worker needs interrupt / debugging, or when feedback should be recorded on a durable --type forum channel.
Typical user signals: "和 codex/claude 讨论", "brainstorm with another agent", "spawn an implement/check worker", "let agent review", "open an issue board / changelog forum", "look at this thread", "channel is stuck / no output", "progress was truncated", "how do I write that channel command".
This skill is an index. Load only the reference file for the current job — do not preload all of them.
trellis --version
trellis channel --help
trellis channel list --all
trellis channel list --scope global --allIf the user names a channel or thread, inspect it before asking for background:
trellis channel forum <board> --scope global
trellis channel thread <board> <thread> --scope global
trellis channel context list <board> --scope global --thread <thread>| User intent | Read |
|---|---|
| "和 codex/claude 讨论一下", "brainstorm with another agent" | references/workflows.md |
| "派一个 implement/check agent", "让 agent review", "spawn a worker" | references/workflows.md, then references/workers.md |
| "开 issue 区 / topic 群 / changelog / board", "make a forum" | references/forum.md |
| "看看这个 thread / linked context", "inspect a thread" | references/forum.md |
| "channel 卡住了 / 没输出 / progress 被截断", "worker stalled" | references/progress-debugging.md |
| "具体命令怎么写", "what flags does X take" | references/command-reference.md |
--type forum. A thread is one item inside a forum channel.--context-file / --context-raw and trellis channel context add/delete/list. --linked-context-* is deprecated terminology.--stdin or --text-file for long messages. Do not put long mixed Chinese/English text in the positional shell argument.messages output is an operator dashboard and may truncate progress. Use --raw for audit.--as is the speaker or worker handle, depending on the command. Use explicit, stable names when multiple agents or sessions are involved.--scope project (default) operates on the current cwd's project bucket; --scope global operates on the shared __global__ bucket. Pick scope deliberately — a global board is invisible from project listings unless --scope global is passed.--kind done / --kind turn_finished (trellis-emitted system events), NOT a user --tag as the completion signal. CLI help lists phase_done / question as --tag examples but only interrupt is a reserved tag with hardcoded trellis behavior; the others are opaque user labels. Relying on a worker to run send --tag <my_signal> is unreliable — LLM workers commonly write the tag string into prose instead of running the actual CLI command. See references/command-reference.md "tag vs kind".events.jsonl first; use forum, thread, messages --thread, and context list.@mindfoldhq/trellis-core owns reusable channel/thread state, event append, seq allocation, context/title projection, reducers, and task helpers. The CLI owns flags, terminal rendering, prompts, worker lifecycle, and process exits.references/workflows.md — canonical collaboration patterns A–F (peer brainstorm, spawned review, dispatch-and-wait, forum issue capture, interrupt-and-redirect, one-shot run).references/forum.md — forum channels, context, title, rename, changelog forums, thread filtering.references/workers.md — spawn, agent cards, context injection (--file / --jsonl), interrupts, kill semantics.references/progress-debugging.md — progress/raw inspection, stalled worker diagnosis, OOM guard, exit codes.references/command-reference.md — current CLI command reference (every subcommand, every flag, output conventions, scope/type model).trellis mem (the trellis-session-insight skill) for session/history search.© mindfold-ai, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in .pi/skills/trellis-channel of mindfold-ai/Trellis.
Open the folder on GitHubat commit f089cb3
We found 15 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in mindfold-ai/Trellis, which our catalogue first saw on October 7, 2026.
Trellis Channel 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 |
|---|---|---|---|---|---|---|
| Trellis Channel this skillmindfold-ai/Trellis | 15k | 4 repos | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Vibe Coding PartnershareAI-lab/Kode-CLI | 5.2k | — | ~5.6k | Automated safety check: Pass | Apache-2.0 | |
| Leon Coding Agentleon-ai/leon | 18k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Octocode Code Researchbgauryy/octocode | 949 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Misakanet Failure MemoryIkalus1988/MisakaNet | 526 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Gearcoleco Debuggingdrhelius/Gearcoleco | 142 | — | ~3.5k | Automated safety check: Pass | GPL-3.0 |
shareAI-lab/Kode-CLI
Gives an agent a set of working rules for any development task: understand first, surface decisions, verify results, and load deeper reference files per scenario.
leon-ai/leon
Has Leon's agent investigate, change and verify code in a repository with its file, search and shell tools, staying inside the scope the owner authorized.
bgauryy/octocode
Researches code with evidence: traces callers, imports and cross-repo links, diagnoses failures and reports findings with exact file and line references and a confidence label.
Ikalus1988/MisakaNet
Search and record failure-recovery lessons from real engineering sessions; submit and verify debugging lessons across the MisakaNet network.
drhelius/Gearcoleco
Debug and trace ColecoVision and Super Game Module games using the Gearcoleco emulator MCP server.
debugmcp/mcp-debugger
A skill your agent uses when investigating a bug, failing test, or unexpected runtime behavior and the mcp-debugger MCP server is available — drives real step-through debuggers (breakpoints, stack…
mindfold-ai/Trellis
Reach into past AI conversation history through the trellis mem CLI.
mindfold-ai/Trellis
Systematic first principles thinking for any problem domain.
mindfold-ai/Trellis
Understand and customize the local Trellis architecture inside a user project.
mindfold-ai/Trellis
Guide for contributing to Trellis documentation and marketplace.
mindfold-ai/Trellis
Create a Trellis migration manifest and matching docs-site changelogs for a target release by analyzing commits since the previous release.
mindfold-ai/Trellis
Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags.
Categories
Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging. Trellis Channel is an agent skill from mindfold-ai/Trellis. Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.
Trellis Channel fits situations like: tasks that involve Debugging.
Run `npx skills add mindfold-ai/Trellis --skill trellis-channel -a claude-code`. Or copy the skill folder (.pi/skills/trellis-channel in mindfold-ai/Trellis) into .claude/skills/trellis-channel in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mindfold-ai/Trellis --skill trellis-channel -a codex`. Or copy the skill folder (.pi/skills/trellis-channel in mindfold-ai/Trellis) into .agents/skills/trellis-channel 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 mindfold-ai/Trellis --skill trellis-channel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trellis-channel, .gemini/skills/trellis-channel, .github/skills/trellis-channel and .opencode/skills/trellis-channel in your project.
SKILL.md names no scripts, command-line tools or credentials: Trellis Channel is instructions for the agent only.
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.
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.
Trellis Channel is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Trellis Channel: Vibe Coding Partner (shareAI-lab/Kode-CLI, 5.2k stars), Leon Coding Agent (leon-ai/leon, 18k stars), Octocode Code Research (bgauryy/octocode, 949 stars) and Misakanet Failure Memory (Ikalus1988/MisakaNet, 526 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mindfold-ai (a GitHub organization) maintains it in mindfold-ai/Trellis, which has 14,914 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 29, 2026.
Source: mindfold-ai/Trellis on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.