Best fit
- Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs.
affaan-m/ECC
Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs.
npx skills add https://github.com/affaan-m/ECC --skill "skills/team-agent-orchestration"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
According to the pinned SKILL.md from affaan-m/ECC: Use this skill when agents are being managed like a team rather than a single assistant. The purpose is to make team-based orchestration reliable: clear work items, explicit ownership, agent Kanban state, branch isolation, control pane visibility, and merge gates.
npx skills add https://github.com/affaan-m/ECC --skill "skills/team-agent-orchestration"Best fit
Bring this context
Expected outputs
Key source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
When a card needs dynamic workflow mode:
The task spans multiple agents, tools, harnesses, branches, or worktrees.
Treat every agent as a teammate with a narrow contract:
Use agent Kanban when work must be visible across sessions.
1. Shape the board: convert fuzzy ambition into work items with owners and merge gates. 2. Pick execution mode: single-agent, dynamic workflow mode, dmux/tmux, worktree fan-out, or external desktop orchestrator. 3. Assign boundaries: one owner per card, clear file scope, and no…
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use team-agent-orchestration to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned team-agent-orchestration source to [task]. Pay particular attention to these source sections: “Dynamic Workflow Compatibility”, “When To Activate”, “Operating Model”, “Agent Kanban”, “Team-Based Orchestration Flow”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current team-agent-orchestration result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
The task matches the purpose documented in the SKILL.md.
The source section “Dynamic Workflow Compatibility” has been checked.
The source section “When To Activate” has been checked.
The source section “Operating Model” has been checked.
The source section “Agent Kanban” has been checked.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detailDistributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailMedicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
Use this skill when agents are being managed like a team rather than a single assistant. The purpose is to make team-based orchestration reliable: clear work items, explicit ownership, agent Kanban state, branch isolation, control pane visibility, and merge gates.
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "skills/team-agent-orchestration". Inspect the command and pinned source before running it.
No dedicated Agent platform is declared in the pinned source record.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
Use when the user wants to generate an image or video via Higgsfield AI. Covers 30+ models: Soul V2, Seedance 2.0, Kling 3.0, Veo 3.1, GPT Image 2, Nano Banana 2. Also covers Marketing Studio — branded ad video/image with avatars and products. Use whenever: "generate an image", "make a video", "animate this photo", "image-to-video", "img2vid", "edit this image with AI", "produce a clip", "create an ad", "make a UGC video", "marketing video", "brand video", "TV spot", "import product from URL", "
Use this skill when agents are being managed like a team rather than a single assistant. The purpose is to make team-based orchestration reliable: clear work items, explicit ownership, agent Kanban state, branch isolation, control pane visibility, and merge gates.
Treat every agent as a teammate with a narrow contract:
Use agent Kanban when work must be visible across sessions.
| Column | Meaning | Exit Criteria |
|---|---|---|
| Backlog | Candidate work item, not yet shaped | Acceptance criteria written |
| Ready | Shaped and assignable | Owner and branch/worktree assigned |
| Running | Agent is actively working | Handoff artifact and changed files exist |
| Review | Work is complete but not merged | Tests, diff review, and risk check pass |
| Blocked | Needs external input or failed gate | Blocker has owner and next action |
| Merged | Integrated into mainline | PR merged or local main updated |
| Archived | No longer relevant | Reason recorded |
Each card should fit this schema:
{
"id": "agent-card-001",
"title": "Build dynamic workflow skill",
"owner": "codex",
"state": "running",
"branch": "product/dynamic-workflow-team-orchestration",
"worktree": ".",
"acceptance": [
"Skill exists",
"Tests cover required concepts",
"Content artifact contains video and article angles"
],
"merge_gate": "lint, focused tests, and catalog check pass",
"handoff": "path/to/handoff.md"
}
skills/.A useful control pane for team orchestration should show:
Do not add more automation until the operator can answer: who owns this, what changed, what gate failed, and what can safely merge?
When a card needs dynamic workflow mode:
Finish each orchestration pass with: