Orca CLI
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
Understand and customize the local Trellis architecture inside a user project.
Install Trellis Meta
$ npx skills add mindfold-ai/Trellis --skill trellis-meta -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mindfold-ai/Trellis trellis-meta --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-meta .claude/skills/trellis-meta && 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-meta" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-meta into .claude/skills/trellis-meta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-meta", 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-metaType 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-meta -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mindfold-ai/Trellis trellis-meta --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-meta .agents/skills/trellis-meta && 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-meta" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-meta into .agents/skills/trellis-meta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-meta", 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-meta -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mindfold-ai/Trellis trellis-meta --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-meta .cursor/skills/trellis-meta && 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-meta" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-meta into .cursor/skills/trellis-meta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-meta", 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-meta--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-meta -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mindfold-ai/Trellis trellis-meta --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-meta .gemini/skills/trellis-meta && 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-meta" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-meta into .gemini/skills/trellis-meta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-meta", 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-metaInstalls 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-meta -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-meta .github/skills/trellis-meta && 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-meta" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-meta into .github/skills/trellis-meta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-meta", 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-meta -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-meta --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-meta .opencode/skills/trellis-meta && 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-meta" agent skill from https://github.com/mindfold-ai/Trellis/tree/main/.pi/skills/trellis-meta into .opencode/skills/trellis-meta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trellis-meta", 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
trellis-meta- GitHub stars
- 15k
- Used in
- 4 other repos
- Token cost
- ~3.2k tokens
- SKILL.md length
- 1,274 words
- Files
- 25 (incl. references)
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Understand and customize the local Trellis architecture inside a user project.
- Works in 5 steps: Read… → If the request involves a specific AI… → If the request involves multi-agent… → …
- Modifying .trellis plus platform hooks
- SKILL.md covers How To Use, References, Current Rules and Do Not
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Trellis Meta is an agent skill from mindfold-ai/Trellis. Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, workflows, the channel runtime (trellis channel), bundled runtime agents under .trellis/agents/, selectable workflow templates, registry-backed spec refresh, cross-session memory (trellis mem) generated by trellis init, or AI-facing bundled skills (trellis-channel, trellis-session-insight, trellis-spec-bootstrap) and bundled-skill…
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 27 other files, including reference files (for example `references/customize-local/add-project-local-conventions.md`, `references/customize-local/change-agents.md` and `references/customize-local/change-context-loading.md`).
It sits in Agent Workflows, covering Session handoff. The repository describes itself as: The best agent harness. The licence is AGPL-3.0.
When your agent uses it
- Modifying .trellis plus platform hooks
- The channel runtime (trellis channel)
- Bundled runtime agents under .trellis/agents/
- Selectable workflow templates
Example prompts
- “/trellis-meta”
Requirements
- Node.js
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Read references/local-architecture/overview.md first to establish the local Trellis system model.
- If the request involves a specific AI tool, read references/platform-files/platform-map.md and the relevant platform file notes.
- If the request involves multi-agent dispatch or channel workers, read references/local-architecture/multi-agent-channel.md and the bundled…
- If the user wants to change behavior, read references/customize-local/overview.md, then open the specific customization topic.
- Before editing, read the actual files in the user project and treat local content as authoritative.
What it can do on your machine
Read from SKILL.md and the folder at commit f089cb3. 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
Trellis Meta loads about 3.2k tokens when it runs, and up to ~28k if it reads all its reference files. Until then it costs about 135 tokens; SKILL.md has 1,274 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
The full file from mindfold-ai/Trellis at commit f089cb3, republished under its AGPL-3.0 licence (© mindfold-ai). 1,274 words, ~3,210 tokens.
Download SKILL.mdSave it as
.claude/skills/trellis-meta/SKILL.md (or your agent's skills folder). This skill also uses 24 other files; get the full folder from GitHub.- name
- trellis-meta
- description
- Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, workflows, the channel runtime (trellis channel), bundled runtime agents under .trellis/agents/, selectable workflow templates, registry-backed spec refresh, cross-session memory (trellis mem) generated by trellis init, or AI-facing bundled skills (trellis-channel, trellis-session-insight, trellis-spec-bootstrap) and bundled-skill auto-dispatch flow.
Trellis Meta
This skill is for local Trellis users who have already run trellis init in a project. After reading it, an AI should understand the Trellis architecture, operating model, and customization entry points inside that user project, then modify the generated .trellis/ and platform directory files according to the user's request.
Trellis v0.6 adds three architectural surfaces on top of the pre-v0.6 workflow / persistence / platform model. First, a multi-agent collaboration runtime: trellis channel coordinates multiple AI worker processes through project-scoped JSONL event logs at ~/.trellis/channels/<project>/<channel>/events.jsonl, with worker OOM guard, forum/thread channels, durable idempotency keys, and bundled .trellis/agents/{check,implement}.md runtime definitions. Second, cross-session memory: trellis mem list | search | context | extract | projects reads raw Claude Code, Codex, and Pi Agent JSONL already on disk, slices by --phase brainstorm|implement|all, and never uploads anything. Third, a dual-package npm release: @mindfoldhq/trellis (CLI) and @mindfoldhq/trellis-core (SDK with /channel, /task, /mem, /testing subpaths) ship in lockstep on one version. Treat these as first-class customization surfaces alongside the per-platform integration files.
The default operating scope is local files in the user project:
.trellis/: workflow, config, tasks, spec, workspace, scripts, bundled runtime agents, and runtime state.- Platform directories:
.claude/,.codex/,.cursor/,.opencode/,.kiro/,.gemini/,.qoder/,.codebuddy/,.github/,.factory/,.pi/,.reasonix/,.kilocode/,.agent/,.devin/,.kimi-code/, and similar directories. Pi additionally exposes a nativetrellis_subagenttool withsingle/parallel/chaindispatch modes, throttled progress cards, andisTrellisAgent()validation on top of the file layout. Reasonix stores both workflow skills and subagent skills as.reasonix/skills/<name>/SKILL.md; subagent skills carryrunAs: subagentfrontmatter. Kimi Code keeps workflow skills in the shared.agents/skills/layer, delivers commands plus agent prompts as.kimi-code/skills/<name>/SKILL.md, and installs the same agent prompts as custom sub-agents under.kimi-code/agents/<name>.md. - Shared skill layer:
.agents/skills/. - User-owned channel store outside the project tree:
~/.trellis/channels/<project>/<channel>/events.jsonl. - Raw platform conversation logs queryable via
trellis mem:~/.claude/projects/,~/.codex/sessions/, and~/.pi/agent/sessions/(OpenCode adapter degraded for the v0.6 line).
Do not assume the user has the Trellis source repository. Do not default to modifying the global npm install directory or node_modules — both @mindfoldhq/trellis and @mindfoldhq/trellis-core ship as published packages sharing one version and one git tag per release.
How To Use
- Read
references/local-architecture/overview.mdfirst to establish the local Trellis system model. - If the request involves a specific AI tool, read
references/platform-files/platform-map.mdand the relevant platform file notes. - If the request involves multi-agent dispatch or channel workers, read
references/local-architecture/multi-agent-channel.mdand the bundled.trellis/agents/files. - If the user wants to change behavior, read
references/customize-local/overview.md, then open the specific customization topic. - Before editing, read the actual files in the user project and treat local content as authoritative.
References
Local Architecture
references/local-architecture/overview.md: The layered local Trellis architecture (workflow / persistence / platform / channel runtime) and customization principles.references/local-architecture/generated-files.md: Files generated bytrellis initand their customization boundaries, including.trellis/agents/.references/local-architecture/workflow.md: Phases, routing, workflow-state blocks, and selectable workflow templates (native,tdd,channel-driven-subagent-dispatch, marketplace) in.trellis/workflow.md.references/local-architecture/task-system.md: Task directories, active task, JSONL context, parent/child task trees, and task runtime.references/local-architecture/spec-system.md: How.trellis/spec/is organized, injected, and refreshed from aregistry.specsource.references/local-architecture/workspace-memory.md:.trellis/workspace/journals plustrellis memcross-session recall and the@mindfoldhq/trellis-core/memSDK.references/local-architecture/context-injection.md: Hooks, sub-agent preludes, and channel-runtime worker inbox routing.references/local-architecture/multi-agent-channel.md:trellis channelsubcommands, project-scoped event store, forum/thread channels, worker OOM guard, durable idempotency, and bundled.trellis/agents/runtime agents.references/local-architecture/bundled-skills.md: Auto-dispatched bundled skills (trellis-meta,trellis-spec-bootstrap,trellis-session-insight) and howgetBundledSkillTemplates()ships them to every platform skill root.
Platform Files
references/platform-files/overview.md: How shared.trellis/files relate to platform directories and the four platform integration modes (hook-driven, agent prelude, main-session workflow, channel runtime).references/platform-files/platform-map.md: Platform directories and paths for skills, agents, hooks, and extensions across all supported platforms including Reasonix and Pi's nativetrellis_subagentextension.references/platform-files/hooks-and-settings.md: How settings/config files, hooks, plugins, and extensions connect to Trellis; coverschannel.worker_guard.*andcodex.dispatch_mode.references/platform-files/agents.md: Per-platformtrellis-research/trellis-implement/trellis-checksub-agent files plus bundled.trellis/agents/{check,implement}.mdfor the channel runtime.references/platform-files/skills-and-commands.md: Differences between skills, commands, prompts, and workflows, plus how to change them.
Local Customization
references/customize-local/overview.md: Choose the right local customization entry point for the user's request.references/customize-local/change-workflow.md: Change phases, routing, next actions, workflow-state, and the selected workflow template.references/customize-local/change-task-lifecycle.md: Change task creation, status, archive behavior, parent/child links, archive slug collision handling, and lifecycle hooks.references/customize-local/change-context-loading.md: Change how tasks, specs, journals, hook context, channel inbox messages, andtrellis memrecall are loaded.references/customize-local/change-hooks.md: Change platform hooks, settings, task lifecycle hooks (hooks.after_*), and shell session bridges.references/customize-local/change-agents.md: Change research, implement, and check agent behavior across platform sub-agents, bundled channel runtime agents, and the Codexdispatch_modetoggle.references/customize-local/change-skills-or-commands.md: Add or modify local skills, commands, prompts, and workflows; covers upstream bundled-skill auto-dispatch.references/customize-local/change-spec-structure.md: Adjust the project spec structure under.trellis/spec/, including registry-backed sources.references/customize-local/add-project-local-conventions.md: Put team rules into project-local specs or local skills.
Show full SKILL.md (505 more words)Show less
Current Rules
.trellis/workflow.mdis the local workflow source of truth; its initial content was selected from a workflow template (built-innative,tdd,channel-driven-subagent-dispatch, or a marketplace template) attrellis inittime and can be re-selected viatrellis workflow --template <id>. Missing.trellis/agents/<name>.mdfiles referenced by the active template trigger a non-blocking stderr warning pointing attrellis update..trellis/config.yamlis the project-level Trellis configuration entry point. It hosts task lifecycle hooks (hooks.after_create/after_start/after_finish/after_archive), journal shape (session_commit_message/max_journal_lines/session_auto_commit), channel worker guard (channel.worker_guard.idle_timeout/max_live_workers), Codex dispatch mode (codex.dispatch_mode: inline | sub-agent), and the spec registry block (registry.spec.source+registry.spec.template)..trellis/spec/stores the user's project-specific coding conventions and design constraints. Whenregistry.specis set, files are refreshed bytrellis update; local edits surface as "modified by user" conflicts in.trellis/.template-hashes.json..trellis/tasks/stores task PRDs, design notes, implement plans, research files, and JSONL context. Tasks form parent/child trees:task.py create --parent <slug>,task.py add-subtask <parent> <child>,task.py remove-subtask <parent> <child>, andtask.py list-context <task>.task.py createrejects a slug already present in.trellis/tasks/archive/**..trellis/workspace/stores deliberately written developer journals. Raw cross-session dialogue is not stored here — it lives on disk under~/.claude/projects/,~/.codex/sessions/, and~/.pi/agent/sessions/and is recovered viatrellis mem search|extract|context. The bundledtrellis-session-insightskill teaches when to reach formem..trellis/agents/{check,implement}.mdare bundled, platform-agnostic channel runtime agent definitions loaded bytrellis channel spawn --agent <name>. Editable;trellis updatebackfills missing ones. Editing the per-platformtrellis-implement.md/trellis-check.mddoes not change channel-runtime worker behavior.~/.trellis/channels/<project>/<channel>/events.jsonlis the channel runtime event log per project per channel. User-owned, file-locked sequence numbering, durableidempotencyKeysupport; never under.trellis/.- Bundled multi-file skills (
trellis-meta,trellis-spec-bootstrap,trellis-session-insight,trellis-channel) are auto-dispatched to every platform skill root bygetBundledSkillTemplates()inpackages/cli/src/templates/common/index.ts. Dropping a new directory underpackages/cli/src/templates/common/bundled-skills/(upstream) ships it to every platform on the nexttrellis update. - Platform settings/config files decide which hooks, agents, skills, commands, prompts, and workflows actually run. Reasonix has no settings file — behavior is encoded inside skill frontmatter.
.trellis/.template-hashes.jsonand.trellis/.runtime/are management/runtime state files. Confirm necessity before editing them.
Do Not
- Do not treat Trellis upstream source code as the default target for local customization.
- Do not modify the global npm install directory or
node_modules/@mindfoldhq/trellisornode_modules/@mindfoldhq/trellis-coreto implement project needs; both packages ship in lockstep. - Do not overwrite user-modified local files with default templates; check
.trellis/.template-hashes.jsonfirst and prefer.newsidecar files over destructive overwrites. - Do not put team-private project rules into any public bundled skill (
trellis-meta,trellis-spec-bootstrap,trellis-session-insight,trellis-channel); put project rules in.trellis/spec/, a project-local skill, the current task, or the workspace journal —trellis updatewill overwrite anything inside a bundled skill directory. - Do not hand-edit
~/.trellis/channels/<project>/<channel>/events.jsonl; sequence numbers are assigned under a file lock and replay-safe writes go through thetrellis channelCLI or the@mindfoldhq/trellis-core/channelSDK. - Do not edit
.claude/agents/trellis-implement.md(or any other per-platform sub-agent file) when the goal is to change channel runtime worker behavior — edit.trellis/agents/<name>.mdinstead. - Do not describe removed or never-shipped mechanisms as current Trellis behavior; cross-check against the local
.trellis/config.yamland the installed CLI'strellis --helpbefore claiming a knob exists.
© 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
Files
SKILL.md and 24 other files (references) in .pi/skills/trellis-meta of mindfold-ai/Trellis.
- SKILL.md
- references/customize-local/add-project-local-conventions.md
- references/customize-local/change-agents.md
- references/customize-local/change-context-loading.md
- references/customize-local/change-hooks.md
- references/customize-local/change-skills-or-commands.md
- references/customize-local/change-spec-structure.md
- references/customize-local/change-task-lifecycle.md
- references/customize-local/change-workflow.md
- references/customize-local/overview.md
- references/local-architecture/bundled-skills.md
- references/local-architecture/context-injection.md
- references/local-architecture/generated-files.md
- references/local-architecture/multi-agent-channel.md
- references/local-architecture/overview.md
- references/local-architecture/spec-system.md
- references/local-architecture/task-system.md
- references/local-architecture/workflow.md
- … and 7 more
Open the folder on GitHubat commit f089cb3
Used in 4 other repositories
We found 16 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.
Compare with similar skills
Trellis Meta 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 Meta this skillmindfold-ai/Trellis | 15k | 4 repos | ~3.2k | Automated safety check: Pass | AGPL-3.0 | |
| Orca CLIstablyai/orca | 89k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Beads Task Memorygastownhall/beads | 28k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Session History Searchslopus/happy | 24k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Paseo Agent Handoffgetpaseo/paseo | 20k | 1 repos | ~606 | Automated safety check: Pass | Custom licence | |
| Memori Long-Term MemoryMemoriLabs/Memori | 17k | — | ~2k | Automated safety check: Notes | Custom licence |
Similar skills
Beads Task Memory
gastownhall/beads
Tracks multi-session work with dependencies in the bd issue tracker so the agent can find ready tasks and recover its context after conversation compaction.
Session History Search
slopus/happy
Searches past Claude Code, Codex and Cursor sessions and summarizes what was worked on, tried or decided, using extraction scripts instead of reading raw logs.
Paseo Agent Handoff
getpaseo/paseo
Hands off the current task, including context, decisions and failed attempts, to a fresh agent through Paseo by writing a self-contained briefing prompt and launching that agent.
Memori Long-Term Memory
MemoriLabs/Memori
Connects Claude Code to Memori Cloud for long-term memory, recalling stored context before substantive replies and saving new context afterward.
Beads
liwp/again
A skill your agent uses when working in a repository that uses bd or Beads for durable project task tracking, issue dependencies, blocker management, multi-session handoff, or shared work memory.
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Related
Categories
Questions about Trellis Meta
What does Trellis Meta do?
Understand and customize the local Trellis architecture inside a user project. Trellis Meta is an agent skill from mindfold-ai/Trellis. Understand and customize the local Trellis architecture inside a user project.
When should I use Trellis Meta?
Trellis Meta fits situations like: modifying .trellis plus platform hooks; the channel runtime (trellis channel); bundled runtime agents under .trellis/agents/; selectable workflow templates.
How do I install Trellis Meta in Claude Code?
Run `npx skills add mindfold-ai/Trellis --skill trellis-meta -a claude-code`. Or copy the skill folder (.pi/skills/trellis-meta in mindfold-ai/Trellis) into .claude/skills/trellis-meta in your project. Claude Code loads it when a task matches its description.
How do I install Trellis Meta in Codex?
Run `npx skills add mindfold-ai/Trellis --skill trellis-meta -a codex`. Or copy the skill folder (.pi/skills/trellis-meta in mindfold-ai/Trellis) into .agents/skills/trellis-meta in your project. Codex loads it when a task matches its description.
Can I use Trellis Meta 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 mindfold-ai/Trellis --skill trellis-meta -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-meta, .gemini/skills/trellis-meta, .github/skills/trellis-meta and .opencode/skills/trellis-meta in your project.
What does Trellis Meta need to run?
SKILL.md names no scripts, command-line tools or credentials: Trellis Meta is instructions for the agent only. Our summary lists: Node.js.
Does Trellis Meta 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 Trellis Meta 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 Trellis Meta use?
Trellis Meta 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.
How many tokens does Trellis Meta use?
About 3.2k tokens (SKILL.md is roughly 13k 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 25k tokens, read only when the agent opens those files.
What are the alternatives to Trellis Meta?
Skills that share tags, products or a category with Trellis Meta: Orca CLI (stablyai/orca, 89k stars), Beads Task Memory (gastownhall/beads, 28k stars), Session History Search (slopus/happy, 24k stars) and Paseo Agent Handoff (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trellis Meta?
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.