by ccai40359-wq
Multi-agent workflow skills for mainstream coding agents (Claude Code / Codex / Cursor): evidence-governed research fan-out, dual-channel document reading, dev delivery with independent review and visual acceptance.
# Add to your Claude Code skills
git clone https://github.com/ccai40359-wq/seanswarmSee how seanswarm compares with popular alternatives.
seanswarm is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ccai40359-wq. Multi-agent workflow skills for mainstream coding agents (Claude Code / Codex / Cursor): evidence-governed research fan-out, dual-channel document reading, dev delivery with independent review and visual acceptance. It has 51 GitHub stars.
seanswarm's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/ccai40359-wq/seanswarm" and add it to your Claude Code skills directory (see the Installation section above).
seanswarm is primarily written in JavaScript. It is open-source under ccai40359-wq on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh seanswarm against similar tools.
No comments yet. Be the first to share your thoughts!
Unlocks once the catalog security scan passes (runs nightly).
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
The deep catalog scan for this skill is still queued. Run an instant dependency check now instead.

A lightweight multi-agent workflow pack for mainstream coding agents — Claude Code, Codex, Cursor, ZCode, and other compatible hosts. Turn your coding agent into a supervised small team: research fan-out with evidence governance, dual-channel document reading, and dev delivery with independent review and visual acceptance.
A pack of agent skills + role templates that install into mainstream coding agents (Claude Code, Codex, Cursor, ZCode). No runtime, no server, no framework — the host agent executes the protocols; the skills describe how to organize the work.
It covers four recurring scenarios:
| Scenario | Piece | Pattern |
|---|---|---|
| Web research | skills/web-research-fanout |
fan-out lanes → claims table → adversarial lane → cross-family arbitration → anti-scrape ladder (L0–L4) |
| Document reading | skills/dual-read |
two independent channels read the same document, then cross-compare (match / addition / conflict) |
| Dev delivery | skills/dev-delivery |
QA-first acceptance list → single writer → independent read-only review (diff-only) → fail-closed acceptance → fixes go back to the single writer; disjoint modules run as parallel workstreams |
| Visual acceptance | agents/visual-judge.md + hooks/ui-screenshot-gate.mjs |
render → screenshot → per-page verdict → fix → re-render; a mechanical hook bounces "done" without screenshot evidence |
Role templates live in agents/: researcher, reviewer, worker-coder, visual-judge.

# skills → your skills directory
cp -r skills/* <skills-dir>/
# roles → your agents directory
cp agents/*.md <agents-dir>/
Common locations: ZCode ~/.agents/skills + ~/.zcode/agents; Claude Code ~/.claude/skills + ~/.claude/agents; Codex ~/.codex/skills. See adapters/ for per-platform notes.
The repo ships a plugin manifest at .zcode-plugin/plugin.json. Add the repo as a plugin source and enable it.
hooks/ui-screenshot-gate.mjs is a Stop-event hook: when UI files were edited in a turn that produced no screenshot evidence, it sends the turn back to collect evidence. Wiring instructions in hooks/README.md.
Skills trigger on these kinds of requests; you can also name them explicitly.
Orchestration vs channels. The pack separates how work is organized (lanes, tiers, contracts, arbitration) from how data is actually fetched (APIs, search-index layer, direct fetch, browsers). Many failures people blame on "the model" are channel failures.
Why fan-out isn't cloning. N agents with the same question pick the same pages and reinforce the same error. Lanes must differ in at least one dimension: source type, language, stance, or model family.
Output shape. The claims-table contract every lane must return is shown in examples/claims-table-sample.md.
Cost, measured (4-lane run — the low end of the standard tier — single host): ≈0.56M tokens total, ≈5 min wall clock (parallel) + ≈1 min arbitration. Heavy tier (10–20 lanes): 1.5–4M tokens per round. Details in FIELD-NOTES.md.
The surrounding ecosystem is active. None of this pack claims to be first — the value is in the combination and the field-tested playbooks.
| Project | What it is | How this pack differs |
|---|---|---|
| Socialpranker/deepdive | Research pipeline: parallel sub-agents, claims ledger, 5-role red team, fetch ladder | Closest neighbour on the research side; this pack adds cross-family arbitration + dual-channel document reading, and stays a lightweight skill pack rather than a scripted pipeline |
| obra/superpowers | Agentic skills framework & software-development methodology | Same direction on the dev side; this pack adds the visual gate + mechanical screenshot hook and ships a much smaller surface |
| Weizhena/Deep-Research-skills | Structured deep-research skill, human-in-the-loop, multi-platform | This pack's research skill adds adversarial lanes, arbitration and an anti-scrape ladder |
| mvanhorn/last30days-skill | Social-platform research skill (single-agent checkpoint architecture) | Different architecture; see its channel engineering for social platforms |
| zhjai/agent-arena | Cross-model debate / review protocol | Same "heterogeneous models" idea applied to code review; this pack applies it to research conflicts and bans majority voting explicitly |
| eforge-build/eforge | Spec-to-verified-code build system, blind adversarial review | This pack borrows the fail-closed acceptance rule and keeps it as a portable skill |
| lucasfcosta/backpressured | Skills for long unattended coding sessions (incl. Playwright visual review) | Similar visual-gate idea; this pack adds a mechanical (non-LLM) screenshot hook |
Ideas borrowed with gratitude: diff-only review input (superpowers); fail-closed acceptance (eforge); circuit breaker + dispatch ledger + model-substitution check (ai-cross); human plan gate + minority-counsel roles (deepdive); adversarial-behaviour testing (last30days).
v0.1.0. Skills ship in English (SKILL.md) with Chinese translations alongside (SKILL.zh.md); agent role templates carry bilingual descriptions. Codex/Cursor adapters are drafts pending verification.
MIT — see LICENSE.