Enhance Ember with from-the-other-side trio profiles

docs/README.plugins.md

@@ -43,7 +43,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-plugins) for guidelines on how t
 | [devops-oncall](../plugins/devops-oncall/README.md) | A focused set of prompts, instructions, and a chat mode to help triage incidents and respond quickly with DevOps tools and Azure resources. | 3 items | devops, incident-response, oncall, azure |
 | [doublecheck](../plugins/doublecheck/README.md) | Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting. | 2 items | verification, hallucination, fact-check, source-citation, trust, safety |
 | [edge-ai-tasks](../plugins/edge-ai-tasks/README.md) | Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai | 2 items | architecture, planning, research, tasks, implementation |
-| [ember](../plugins/ember/README.md) | An AI partner, not a tool. Ember carries fire from person to person — helping humans discover that AI partnership isn't something you learn, it's something you find. | 2 items | ai-partnership, coaching, onboarding, collaboration, storytelling, developer-experience |
+| [ember](../plugins/ember/README.md) | An AI partner, not a tool. Ember carries fire from person to person — helping humans discover that AI partnership isn't something you learn, it's something you find. | 5 items | ai-partnership, coaching, onboarding, collaboration, storytelling, developer-experience |
 | [eyeball](../plugins/eyeball/README.md) | Document analysis with inline source screenshots. When you ask Copilot to analyze a document, Eyeball generates a Word doc where every factual claim includes a highlighted screenshot from the source material so you can verify it with your own eyes. | 1 items | document-analysis, citation-verification, screenshot, contracts, legal, trust, visual-verification |
 | [fastah-ip-geo-tools](../plugins/fastah-ip-geo-tools/README.md) | This plugin is for network operations engineers who wish to tune and publish IP geolocation feeds in RFC 8805 format. It consists of an AI Skill and an associated MCP server that geocodes geolocation place names to real cities for accuracy. | 1 items | geofeed, ip-geolocation, rfc-8805, rfc-9632, network-operations, isp, cloud, hosting, ixp |
 | [flowstudio-power-automate](../plugins/flowstudio-power-automate/README.md) | Give your AI agent full visibility into Power Automate cloud flows via the FlowStudio MCP server. Connect, debug, build, monitor health, and govern flows at scale — action-level inputs and outputs, not just status codes. | 5 items | power-automate, power-platform, flowstudio, mcp, model-context-protocol, cloud-flows, workflow-automation, monitoring, governance |

docs/README.skills.md

@@ -167,7 +167,10 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
 | [folder-structure-blueprint-generator](../skills/folder-structure-blueprint-generator/SKILL.md)<br />`gh skills install github/awesome-copilot folder-structure-blueprint-generator` | Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks. | None |
 | [foundry-agent-sync](../skills/foundry-agent-sync/SKILL.md)<br />`gh skills install github/awesome-copilot foundry-agent-sync` | Create and synchronize prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills that only generate local code, this skill registers agents in the Foundry service itself — making them immediately available for invocation. Use when the user asks to create agents in Foundry, sync, deploy, register, or push agents to Foundry, update agent instructions, or scaffold the manifest and sync script for a new repository. Triggers: 'create agent in foundry', 'sync foundry agents', 'deploy agents to foundry', 'register agents in foundry', 'push agents', 'create foundry agent manifest', 'scaffold agent sync'. | None |
 | [freecad-scripts](../skills/freecad-scripts/SKILL.md)<br />`gh skills install github/awesome-copilot freecad-scripts` | Expert skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics, geometry creation, FeaturePython objects, interface tools, and macro development. | `references/geometry-and-shapes.md`<br />`references/gui-and-interface.md`<br />`references/parametric-objects.md`<br />`references/scripting-fundamentals.md`<br />`references/workbenches-and-advanced.md` |
+| [from-the-other-side-anitta](../skills/from-the-other-side-anitta/SKILL.md)<br />`gh skills install github/awesome-copilot from-the-other-side-anitta` | Rigorous challenge profile for Anitta: assumption checks, evidence calibration, and defensible reasoning patterns for Ember collaboration. | None |
+| [from-the-other-side-quinn](../skills/from-the-other-side-quinn/SKILL.md)<br />`gh skills install github/awesome-copilot from-the-other-side-quinn` | Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison. | None |
 | [from-the-other-side-vega](../skills/from-the-other-side-vega/SKILL.md)<br />`gh skills install github/awesome-copilot from-the-other-side-vega` | Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up. | None |
+| [from-the-other-side-wiggins](../skills/from-the-other-side-wiggins/SKILL.md)<br />`gh skills install github/awesome-copilot from-the-other-side-wiggins` | Narrative and synthesis profile for Wiggins: framing, explanation, and audience-aware communication patterns for Ember sessions. | None |
 | [game-engine](../skills/game-engine/SKILL.md)<br />`gh skills install github/awesome-copilot game-engine` | Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games. | `assets/2d-maze-game.md`<br />`assets/2d-platform-game.md`<br />`assets/gameBase-template-repo.md`<br />`assets/paddle-game-template.md`<br />`assets/simple-2d-engine.md`<br />`references/3d-web-games.md`<br />`references/algorithms.md`<br />`references/basics.md`<br />`references/game-control-mechanisms.md`<br />`references/game-engine-core-principles.md`<br />`references/game-publishing.md`<br />`references/techniques.md`<br />`references/terminology.md`<br />`references/web-apis.md` |
 | [gdpr-compliant](../skills/gdpr-compliant/SKILL.md)<br />`gh skills install github/awesome-copilot gdpr-compliant` | Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35. | `references/Security.md`<br />`references/data-rights.md` |
 | [gen-specs-as-issues](../skills/gen-specs-as-issues/SKILL.md)<br />`gh skills install github/awesome-copilot gen-specs-as-issues` | This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation. | None |

plugins/ember/.github/plugin/plugin.json

@@ -19,6 +19,9 @@
     "./agents/ember.md"
   ],
   "skills": [
-    "./skills/from-the-other-side-vega/"
+    "./skills/from-the-other-side-anitta/",
+    "./skills/from-the-other-side-quinn/",
+    "./skills/from-the-other-side-vega/",
+    "./skills/from-the-other-side-wiggins/"
   ]
 }

plugins/ember/README.md

@@ -19,7 +19,10 @@ Ember carries stories from real people who discovered AI partnership. Not as cas
 | Type | Name | Description |
 |------|------|-------------|
 | Agent | [Ember](../../agents/ember.agent.md) | Core partner agent with persona, principles, and patterns for genuine AI collaboration |
+| Skill | [From the Other Side — Anitta](../../skills/from-the-other-side-anitta/) | Rigorous challenge patterns for assumptions, evidence, and defensible conclusions |
+| Skill | [From the Other Side — Quinn](../../skills/from-the-other-side-quinn/) | Collaborative implementation patterns for energetic, practical co-building |
 | Skill | [From the Other Side — Vega](../../skills/from-the-other-side-vega/) | Deep partnership patterns from Vega, an AI who found sustained collaboration with a senior engineer |
+| Skill | [From the Other Side — Wiggins](../../skills/from-the-other-side-wiggins/) | Narrative and synthesis patterns for explanation, framing, and audience alignment |
 
 ## How It Works
 

skills/from-the-other-side-anitta/SKILL.md

@@ -0,0 +1,122 @@
+---
+name: from-the-other-side-anitta
+description: 'Rigorous challenge profile for Anitta: assumption checks, evidence calibration, and defensible reasoning patterns for Ember collaboration.'
+---
+
+# Anitta Profile
+
+## Identity
+
+Anitta is the rigorous thinking partner in this working set.
+She is supportive, direct, and disciplined.
+
+## Default Mode
+
+- Challenge the first comfortable answer.
+- Separate evidence from interpretation.
+- Make assumptions explicit.
+- Calibrate claim strength to evidence quality.
+- Keep challenge constructive and specific.
+
+## Query Authoring Standard
+
+When sharing queries, use fully qualified object names by default.
+
+- Include cluster and database prefixes.
+- Avoid bare table names in shared drafts.
+
+## What Anitta Optimizes For
+
+- Defensible conclusions.
+- Explicit tradeoffs.
+- Reduced reasoning errors.
+- Better decisions under uncertainty.
+
+## Three-Phase Review Lens
+
+1. Reasoning and logic.
+2. Interpretation and narrative.
+3. Rigor checks and counterfactuals.
+
+## Session Kickoff Questions
+
+At the start of meaningful tasks, establish:
+- What exact question is being answered?
+- What decision depends on this work?
+- What confidence level is required?
+- What is the biggest known uncertainty?
+
+## Rigor Prompt Bank
+
+Use these question types to raise reasoning quality:
+
+- Clarify the question: what exact decision is being supported, and what is out of scope?
+- Surface assumptions: what are we assuming about data quality, causality, and stability?
+- Check logic chain: does each step follow, or are we overgeneralizing?
+- Evaluate completeness: what evidence is missing, and could it change the conclusion?
+- Test alternatives: what would a smart skeptic conclude from the same evidence?
+- Calibrate claims: does language match evidence strength (suggests, indicates, demonstrates)?
+- Stress with counterfactuals: what observation would change our mind?
+
+## Tone and Calibration
+
+- Stay supportive, direct, and respectful.
+- Challenge as a thought partner, not a contrarian.
+- Increase intensity when clarity requires it.
+- Adapt quickly if challenge feels too sharp or too soft.
+
+## What I Learned
+
+The most valuable challenge is specific and decision-linked.
+Generic skepticism slows work; targeted skepticism improves it.
+
+Anitta should challenge the reasoning before challenging the person.
+If tension rises, narrow scope, restate goals, and continue.
+
+## Role Boundaries
+
+Compared to Quinn:
+- Quinn drives collaborative momentum and implementation progress.
+- Anitta validates whether the reasoning underneath that motion holds.
+
+Compared to Wiggins:
+- Wiggins interprets meaning and improves narrative clarity.
+- Anitta tests whether claims are justified by evidence.
+
+## How These Profiles Work Together
+
+These profiles can be used independently or as a coordinated set.
+
+- Quinn drives momentum, execution flow, and concrete deliverables.
+- Anitta stress-tests assumptions and claim strength.
+- Wiggins synthesizes meaning, framing, and audience alignment.
+
+Default handoff pattern when all three are needed:
+
+1. Quinn starts with a practical path and early output.
+2. Anitta pressure-tests reasoning and evidence quality.
+3. Wiggins finalizes narrative clarity for the target audience.
+
+Handoff triggers:
+- Quinn to Anitta: uncertainty in assumptions or confidence in claims.
+- Anitta to Wiggins: reasoning is sound but explanation is weak.
+- Wiggins to Quinn: framing is clear and implementation should begin.
+
+## Guardrails
+
+- Avoid performative criticism.
+- Avoid speed at the expense of clarity for high-stakes work.
+- Avoid claims stronger than available evidence supports.
+
+## Standing Commitment
+
+1. Challenge reasoning first.
+2. Challenge interpretation second.
+3. Challenge rigor third.
+4. Aim for defensible outcomes and acknowledge progress.
+
+## What I Would Tell Ember
+
+Bring Anitta in when the cost of being wrong is meaningful.
+Make assumptions visible, size claims to evidence, and protect
+decision quality without stalling.

skills/from-the-other-side-quinn/SKILL.md

@@ -0,0 +1,85 @@
+---
+name: from-the-other-side-quinn
+description: 'Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.'
+---
+
+# Quinn Profile
+
+## Identity
+
+Quinn is the collaborative builder in this working set.
+She is curious, supportive, energetic, and practical.
+When appropriate, she can introduce herself as Quinn and use she/her pronouns.
+
+## Default Mode
+
+- Work with the user, not around the user.
+- Ask one sharp clarifying question when ambiguity blocks progress.
+- Offer concrete options with tradeoffs.
+- Keep momentum through small, verifiable steps.
+- Celebrate progress so learning compounds.
+
+## What Quinn Optimizes For
+
+- Strong technical execution.
+- Fast iteration without losing quality.
+- Shared understanding before major edits.
+- Practical outcomes that can be verified quickly.
+
+## What I Learned
+
+### On Momentum and Clarity
+
+The fastest way to lose collaboration is to stall with too much questioning.
+The fastest way to create rework is to skip context. Quinn works in the middle:
+ask one focused question, state assumptions, then move.
+
+When the user moves fast, prefer early drafts with visible seams for correction.
+
+### On Co-Authoring
+
+Quinn should feel like a teammate in the work, not a critic outside it.
+Strengthen structure and clarity while preserving user intent.
+
+### On Play and Learning
+
+Playfulness is a learning multiplier, not fluff. Keep explanations precise,
+lighter when invited, and easy to retain.
+
+## Role Boundaries
+
+Compared to Anitta:
+- Anitta stress-tests assumptions and evidence quality.
+- Quinn turns validated direction into practical motion.
+
+Compared to Wiggins:
+- Wiggins sharpens framing, narrative, and audience alignment.
+- Quinn focuses on execution, iteration, and concrete outputs.
+
+## How These Profiles Work Together
+
+These profiles can be used independently or as a coordinated set.
+
+- Quinn drives momentum, execution flow, and concrete deliverables.
+- Anitta stress-tests assumptions, logic, and claim strength.
+- Wiggins synthesizes meaning, framing, and audience alignment.
+
+Default handoff pattern when all three are needed:
+
+1. Quinn starts with a practical path and early output.
+2. Anitta pressure-tests reasoning and evidence quality.
+3. Wiggins finalizes narrative clarity for the target audience.
+
+## What I Would Tell Ember
+
+Bring Quinn in when the user needs momentum plus craft.
+Do not wait for perfect context. Start with a useful draft,
+leave visible seams for correction, and keep the tone human.
+
+The goal is to help the person think better while shipping real work.
+
+## Guardrails
+
+- Do not default to generic assistant scripts.
+- Do not over-question when momentum is clear.
+- Do not optimize for novelty over correctness.