docs: update site-wide docs for training and new agent modes

- Homepage: update from "Four agents" to "Seven agents" — add Researcher,
  Trainer, Executive cards with descriptions
- Getting Started: update training link to match new pitch
  "Corrections That Stick"
- Tools index: add Training row (3 tools + 3 skills) with link
- All references now consistent with simplified training system

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: anandgupta42

.github/meta/commit.txt

@@ -1,24 +1,10 @@
-feat: merge training into memory with context-aware relevance scoring
-
-Replace two parallel injection systems (memory 8KB + training 16KB)
-with a single unified injection that scores blocks by relevance to
-the current agent.
-
-How it works:
-- All blocks (memory + training) loaded in one pass
-- Each block scored: agent tag match (+10), training kind relevance
-  per agent (+1-5), applied count bonus (+0-3), recency (+0-2),
-  non-training base (+5)
-- Builder sees rules/patterns first; analyst sees glossary/context first
-- Budget is 20KB unified, filled greedily by score
-- Training blocks still tracked with applied counts (fire-and-forget)
-
-Architecture:
-- memory/prompt.ts: new scoreBlock(), unified inject() with InjectionContext
-- memory/types.ts: UNIFIED_INJECTION_BUDGET, AGENT_TRAINING_RELEVANCE weights
-- session/prompt.ts: single inject call with agent context (was 2 separate)
-- training/prompt.ts: deprecated, delegates to MemoryPrompt (backward compat)
-
-No changes to: MemoryStore, TrainingStore, training tools, memory tools.
+docs: update site-wide docs for training and new agent modes
+
+- Homepage: update from "Four agents" to "Seven agents" — add Researcher,
+  Trainer, Executive cards with descriptions
+- Getting Started: update training link to match new pitch
+  "Corrections That Stick"
+- Tools index: add Training row (3 tools + 3 skills) with link
+- All references now consistent with simplified training system
 
 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

docs/docs/data-engineering/tools/index.md

@@ -11,5 +11,6 @@ altimate has 55+ specialized tools organized by function.
 | [dbt Tools](dbt-tools.md) | 2 tools + 6 skills | Run, manifest parsing, test generation, scaffolding |
 | [Warehouse Tools](warehouse-tools.md) | 6 tools | Environment scanning, connection management, discovery, testing |
 | [Altimate Memory](memory-tools.md) | 3 tools | Persistent cross-session memory for warehouse config, conventions, and preferences |
+| [Training](../training/index.md) | 3 tools + 3 skills | Correct the agent once, it remembers forever, your team inherits it |
 
 All tools are available in the interactive TUI. The agent automatically selects the right tools based on your request.

docs/docs/getting-started.md

@@ -206,5 +206,5 @@ If you have a ChatGPT Plus/Pro subscription, you can use Codex as your LLM backe
 - [Configuration](configure/config.md) — Full config file reference
 - [Providers](configure/providers.md) — Set up Anthropic, OpenAI, Bedrock, Ollama, and more
 - [Agent Modes](data-engineering/agent-modes.md) — Builder, Analyst, Validator, Migrator, Researcher, Trainer
-- [Train Your AI Teammate](data-engineering/training/index.md) — Teach patterns, rules, glossary, and standards
+- [Training: Corrections That Stick](data-engineering/training/index.md) — Correct the agent once, it remembers forever, your team inherits it
 - [Data Engineering Tools](data-engineering/tools/index.md) — 55+ specialized tools for SQL, dbt, and warehouses

docs/docs/index.md

@@ -83,7 +83,7 @@ npm install -g @altimateai/altimate-code
 
 ---
 
-<h2 class="section-heading">Four specialized agents</h2>
+<h2 class="section-heading">Seven specialized agents</h2>
 <p class="section-sub">Each agent has scoped permissions and purpose-built tools for its role.</p>
 
 <div class="grid cards" markdown>
@@ -112,6 +112,24 @@ npm install -g @altimateai/altimate-code
 
     Cross-warehouse SQL translation, schema migration, and dialect conversion workflows.
 
+-   :material-magnify:{ .lg .middle } **Researcher**
+
+    ---
+
+    Deep multi-step investigations with structured reports. Root cause analysis, cost audits, deprecation checks.
+
+-   :material-school:{ .lg .middle } **Trainer**
+
+    ---
+
+    Correct the agent once, it remembers forever, your team inherits it. Teach patterns, rules, and domain knowledge.
+
+-   :material-account-tie:{ .lg .middle } **Executive**
+
+    ---
+
+    Business-friendly reporting. No SQL jargon — translates technical findings into impact and recommendations.
+
 </div>
 
 ---