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TL;DR:#770 / #1468 discussed the idea of bundled / first-party skills, but nothing has shipped yet. I've put together a draft at Tigatron/multica-skills that I'd like to contribute upstream as an official resource. This post is about finding the right contribution shape — naming is a secondary question. The draft repo exists purely so you have something concrete to review; I'm not promoting it.
Background
The four skills referenced in skills-lock.json (anthropics / shadcn / nextlevelbuilder / vercel-labs) are all focused on frontend and UI design. There is no skill yet that lets other agents operate the Multica platform itself.
If Claude Code, Codex, Cursor, OpenCode, Gemini CLI, and the rest could drive the multica CLI through a skill — assigning work to agents, scheduling autopilots, inspecting runs, operating the daemon — Multica becomes a collaboration backend that any agent can plug into. That matches the direction sketched in #770 and #1468.
I'd like to ship this as a first-party resource.
What the draft contains
Pushed to Tigatron/multica-skills (MIT, draft only) so there's something concrete to review. Split into 6 modular skills along capability boundaries, with each description written as a "when to use me" predicate so agent frameworks route correctly:
Local runtime lifecycle, workspace watch, profiles
Beyond the command reference, each SKILL.md also includes:
Common flows — cross-command patterns (batch-migrating issues at sprint close, polling run-messages, etc.)
Gotchas — IANA timezone names, case-sensitive assignees, daemon running empty without an agent CLI installed, and similar traps
The layout matches vercel-labs/skills (the same tooling Multica already consumes), so it works with npx skills add out of the box across all 40+ supported agents. I haven't advertised the draft anywhere pending alignment with you on the contribution path.
Existing community work
Scanned what's already out there to avoid duplicating effort:
panfu/multica-skill — single-file SKILL.md via CLI, installed by pasting a prompt into the agent
This draft's angle (modular + CLI + native npx skills) doesn't overlap with either. If the team adopts this, I'd hope the different community efforts eventually converge on one official entry point rather than fragmenting the ecosystem.
Primary question: preferred contribution shape
Which shape works best for you?
A. PR into the main multica repoAdd a skills/ (or similar) directory inside multica-ai/multica, SKILL.md files shipped alongside the code. Upside: stays in lockstep with CLI versions, no chance of drift.
B. A sibling repo under multica-aiSomething like multica-ai/skills or multica-ai/agent-skills, where I contribute the draft content via PR or transfer. Upside: users install with npx skills add multica-ai/skills, consistent with the external-skill pattern already in skills-lock.json.
C. Something else — for example as examples, docs, or a larger feature surface.
All three work for me. If useful, I can also transfer Tigatron/multica-skills directly to the multica-ai org (GitHub issues a 301 redirect, zero migration cost for any existing consumers) — but that's an execution detail once you've decided to adopt, not a precondition.
If option A looks right to you, I can open a PR against multica-ai/multica within a day — the draft is already structured that way. I'd rather wait for a signal from the team before opening anything, so I'm not presuming the answer.
Secondary question: naming convention
Skills currently use a multica-* prefix (multica-setup, multica-issues, and so on). If the contribution lands under A or B, is that prefix right? Or would you prefer:
No prefix (setup / issues / ..., since the repo is already under the multica-ai namespace)
A different prefix
Keep multica-* as is
Misc
License: MIT (same as the main repo)
Sources: CLI_AND_DAEMON.md plus gotchas surfaced during hands-on use
If the direction doesn't fit, or now's not the right time, that's completely fine
Feedback welcome.
> **TL;DR:** #770 / #1468 discussed the idea of bundled / first-party skills, but nothing has shipped yet. I've put together a draft at [[Tigatron/multica-skills](https://github.com/Tigatron/multica-skills)](https://github.com/Tigatron/multica-skills) that I'd like to contribute upstream as an official resource. This post is about finding the right contribution shape — naming is a secondary question. The draft repo exists purely so you have something concrete to review; I'm not promoting it.
Background
The four skills referenced in skills-lock.json (anthropics / shadcn / nextlevelbuilder / vercel-labs) are all focused on frontend and UI design. There is no skill yet that lets other agents operate the Multica platform itself.
If Claude Code, Codex, Cursor, OpenCode, Gemini CLI, and the rest could drive the multica CLI through a skill — assigning work to agents, scheduling autopilots, inspecting runs, operating the daemon — Multica becomes a collaboration backend that any agent can plug into. That matches the direction sketched in #770 and #1468.
I'd like to ship this as a first-party resource.
What the draft contains
Pushed to [Tigatron/multica-skills](https://github.com/Tigatron/multica-skills) (MIT, draft only) so there's something concrete to review. Split into 6 modular skills along capability boundaries, with each description written as a "when to use me" predicate so agent frameworks route correctly:
Local runtime lifecycle, workspace watch, profiles
Beyond the command reference, each SKILL.md also includes:
Common flows — cross-command patterns (batch-migrating issues at sprint close, polling run-messages, etc.)
Gotchas — IANA timezone names, case-sensitive assignees, daemon running empty without an agent CLI installed, and similar traps
The layout matches vercel-labs/skills (the same tooling Multica already consumes), so it works with npx skills add out of the box across all 40+ supported agents. I haven't advertised the draft anywhere pending alignment with you on the contribution path.
Existing community work
Scanned what's already out there to avoid duplicating effort:
This draft's angle (modular + CLI + native npx skills) doesn't overlap with either. If the team adopts this, I'd hope the different community efforts eventually converge on one official entry point rather than fragmenting the ecosystem.
Primary question: preferred contribution shape
Which shape works best for you?
A. PR into the main multica repo
Add a skills/ (or similar) directory inside multica-ai/multica, SKILL.md files shipped alongside the code. Upside: stays in lockstep with CLI versions, no chance of drift.
B. A sibling repo under multica-ai
Something like multica-ai/skills or multica-ai/agent-skills, where I contribute the draft content via PR or transfer. Upside: users install with npx skills add multica-ai/skills, consistent with the external-skill pattern already in skills-lock.json.
C. Something else — for example as examples, docs, or a larger feature surface.
All three work for me. If useful, I can also transfer Tigatron/multica-skills directly to the multica-ai org (GitHub issues a 301 redirect, zero migration cost for any existing consumers) — but that's an execution detail once you've decided to adopt, not a precondition.
If option A looks right to you, I can open a PR against multica-ai/multica within a day — the draft is already structured that way. I'd rather wait for a signal from the team before opening anything, so I'm not presuming the answer.
Secondary question: naming convention
Skills currently use a multica-* prefix (multica-setup, multica-issues, and so on). If the contribution lands under A or B, is that prefix right? Or would you prefer:
No prefix (setup / issues / ..., since the repo is already under the multica-ai namespace)
A different prefix
Keep multica-* as is
Misc
License: MIT (same as the main repo)
Sources: CLI_AND_DAEMON.md plus gotchas surfaced during hands-on use
If the direction doesn't fit, or now's not the right time, that's completely fine
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Background
The four skills referenced in
skills-lock.json(anthropics / shadcn / nextlevelbuilder / vercel-labs) are all focused on frontend and UI design. There is no skill yet that lets other agents operate the Multica platform itself.If Claude Code, Codex, Cursor, OpenCode, Gemini CLI, and the rest could drive the
multicaCLI through a skill — assigning work to agents, scheduling autopilots, inspecting runs, operating the daemon — Multica becomes a collaboration backend that any agent can plug into. That matches the direction sketched in #770 and #1468.I'd like to ship this as a first-party resource.
What the draft contains
Pushed to Tigatron/multica-skills (MIT, draft only) so there's something concrete to review. Split into 6 modular skills along capability boundaries, with each
descriptionwritten as a "when to use me" predicate so agent frameworks route correctly:Beyond the command reference, each SKILL.md also includes:
Common flows — cross-command patterns (batch-migrating issues at sprint close, polling
run-messages, etc.)Gotchas — IANA timezone names, case-sensitive assignees, daemon running empty without an agent CLI installed, and similar traps
The layout matches
vercel-labs/skills(the same tooling Multica already consumes), so it works withnpx skills addout of the box across all 40+ supported agents. I haven't advertised the draft anywhere pending alignment with you on the contribution path.Existing community work
Scanned what's already out there to avoid duplicating effort:
panfu/multica-skill — single-file SKILL.md via CLI, installed by pasting a prompt into the agent
ZhangBohan/multica-ops-skill — REST API + Python scripts, ops-focused
This draft's angle (modular + CLI + native
npx skills) doesn't overlap with either. If the team adopts this, I'd hope the different community efforts eventually converge on one official entry point rather than fragmenting the ecosystem.Primary question: preferred contribution shape
Which shape works best for you?
A. PR into the main
multicarepo Add askills/(or similar) directory insidemultica-ai/multica, SKILL.md files shipped alongside the code. Upside: stays in lockstep with CLI versions, no chance of drift.B. A sibling repo under
multica-aiSomething likemultica-ai/skillsormultica-ai/agent-skills, where I contribute the draft content via PR or transfer. Upside: users install withnpx skills add multica-ai/skills, consistent with the external-skill pattern already inskills-lock.json.C. Something else — for example as examples, docs, or a larger feature surface.
All three work for me. If useful, I can also transfer
Tigatron/multica-skillsdirectly to themultica-aiorg (GitHub issues a 301 redirect, zero migration cost for any existing consumers) — but that's an execution detail once you've decided to adopt, not a precondition.If option A looks right to you, I can open a PR against
multica-ai/multicawithin a day — the draft is already structured that way. I'd rather wait for a signal from the team before opening anything, so I'm not presuming the answer.Secondary question: naming convention
Skills currently use a
multica-*prefix (multica-setup,multica-issues, and so on). If the contribution lands under A or B, is that prefix right? Or would you prefer:No prefix (
setup/issues/ ..., since the repo is already under themultica-ainamespace)A different prefix
Keep
multica-*as isMisc
License: MIT (same as the main repo)
Sources:
CLI_AND_DAEMON.mdplus gotchas surfaced during hands-on useIf the direction doesn't fit, or now's not the right time, that's completely fine
Feedback welcome.
> **TL;DR:** #770 / #1468 discussed the idea of bundled / first-party skills, but nothing has shipped yet. I've put together a draft at [[Tigatron/multica-skills](https://github.com/Tigatron/multica-skills)](https://github.com/Tigatron/multica-skills) that I'd like to contribute upstream as an official resource. This post is about finding the right contribution shape — naming is a secondary question. The draft repo exists purely so you have something concrete to review; I'm not promoting it.Background
The four skills referenced in
skills-lock.json(anthropics / shadcn / nextlevelbuilder / vercel-labs) are all focused on frontend and UI design. There is no skill yet that lets other agents operate the Multica platform itself.If Claude Code, Codex, Cursor, OpenCode, Gemini CLI, and the rest could drive the
multicaCLI through a skill — assigning work to agents, scheduling autopilots, inspecting runs, operating the daemon — Multica becomes a collaboration backend that any agent can plug into. That matches the direction sketched in #770 and #1468.I'd like to ship this as a first-party resource.
What the draft contains
Pushed to [Tigatron/multica-skills](https://github.com/Tigatron/multica-skills) (MIT, draft only) so there's something concrete to review. Split into 6 modular skills along capability boundaries, with each
descriptionwritten as a "when to use me" predicate so agent frameworks route correctly:multica-setupmultica-issuesmultica-agentsmultica-projectsmultica-autopilotmultica-daemonBeyond the command reference, each SKILL.md also includes:
run-messages, etc.)The layout matches
vercel-labs/skills(the same tooling Multica already consumes), so it works withnpx skills addout of the box across all 40+ supported agents. I haven't advertised the draft anywhere pending alignment with you on the contribution path.Existing community work
Scanned what's already out there to avoid duplicating effort:
This draft's angle (modular + CLI + native
npx skills) doesn't overlap with either. If the team adopts this, I'd hope the different community efforts eventually converge on one official entry point rather than fragmenting the ecosystem.Primary question: preferred contribution shape
Which shape works best for you?
A. PR into the main
multicarepoAdd a
skills/(or similar) directory insidemultica-ai/multica, SKILL.md files shipped alongside the code. Upside: stays in lockstep with CLI versions, no chance of drift.B. A sibling repo under
multica-aiSomething like
multica-ai/skillsormultica-ai/agent-skills, where I contribute the draft content via PR or transfer. Upside: users install withnpx skills add multica-ai/skills, consistent with the external-skill pattern already inskills-lock.json.C. Something else — for example as examples, docs, or a larger feature surface.
All three work for me. If useful, I can also transfer
Tigatron/multica-skillsdirectly to themultica-aiorg (GitHub issues a 301 redirect, zero migration cost for any existing consumers) — but that's an execution detail once you've decided to adopt, not a precondition.If option A looks right to you, I can open a PR against
multica-ai/multicawithin a day — the draft is already structured that way. I'd rather wait for a signal from the team before opening anything, so I'm not presuming the answer.Secondary question: naming convention
Skills currently use a
multica-*prefix (multica-setup,multica-issues, and so on). If the contribution lands under A or B, is that prefix right? Or would you prefer:setup/issues/ ..., since the repo is already under themultica-ainamespace)multica-*as isMisc
CLI_AND_DAEMON.mdplus gotchas surfaced during hands-on useFeedback welcome:)
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