القائمة
Create a new AgentHub collaboration session with task, agent count, and evaluation criteria.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/eirkkk/winland-Android --skill initيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Accessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | init |
| description | Create a new AgentHub collaboration session with task, agent count, and evaluation criteria. |
| compatibility | opencode |
Initialize an AgentHub collaboration session. Creates the .agenthub/ directory structure, generates a session ID, and configures evaluation criteria.
/hub:init # Interactive mode
/hub:init --task "Optimize API" --agents 3 --eval "pytest bench.py" --metric p50_ms --direction lower
/hub:init --task "Refactor auth" --agents 2 # No eval (LLM judge mode)
Pass them to the init script:
python {skill_path}/scripts/hub_init.py \
--task "{task}" --agents {N} \
[--eval "{eval_cmd}"] [--metric {metric}] [--direction {direction}] \
[--base-branch {branch}]
Collect each parameter:
AgentHub session initialized
Session ID: 20260317-143022
Task: Optimize API response time below 100ms
Agents: 3
Eval: pytest bench.py --json
Metric: p50_ms (lower is better)
Base branch: dev
State: init
Next step: Run /hub:spawn to launch 3 agents
For content or research tasks (no eval command → LLM judge mode):
AgentHub session initialized
Session ID: 20260317-151200
Task: Draft 3 competing taglines for product launch
Agents: 3
Eval: LLM judge (no eval command)
Base branch: dev
State: init
Next step: Run /hub:spawn to launch 3 agents
If --eval was provided, capture a baseline measurement after session creation:
baseline: {value} to .agenthub/sessions/{session-id}/config.yamlBaseline captured: {metric} = {value}This baseline is used by result_ranker.py --baseline during evaluation to show deltas. If the eval command fails at this stage, warn the user but continue — baseline is optional.
Tell the user:
{session-id}/hub:spawn to launch agents/hub:spawn {session-id} if multiple sessions exist