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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/engramist-session-start
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data
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What's inside
- Skill name
session-start- Description
- None
- License
- Apache-2.0
- Instructions
- 67 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# Session Start — Memory Recall Protocol **This skill fires at the START of every conversation.** Before doing any work, you MUST follow this 4-step protocol to load context from the Brain. ## Step 1: Ask the Brain What to Recall Call `memory_decision` with the user's first message to get routing advice: ``` memory_decision(query="<user's first message or topic>", session_id="<session>") ``` The Brain returns: - `recommended_tool`: which recall tool to call next - `reasoning`: why this tool was chosen - `confidence`: how confident the routing is ## Step 2: Call the Recommended Tool Based on `recommended_tool` from Step 1: | Recommendation | Action | |---|---| | `current_truth` | `current_truth(query="<topic>", session_id="<session>")` | | `compile_context` | `compile_context(query="<topic>", token_budget=32000, agent_type="<your type>")` | | `recall_procedures` | `recall_procedures(query="<process topic>")` | | `recall_relevant_lessons` | `recall_relevant_lessons(query="<topic>")` | | `recall_plans` | `recall_plans(query="<plan topic>")` | | `none` | Skip to Step 3 (Brain has no relevant context) | **ALWAYS call the recommended tool.** Do not skip this step. ## Step 3: Check for Recent Changes If you are continuing work on an existing project or quest, call `diff_since` to see what changed since the last session: ``` diff_since(since_iso="<last session ISO timestamp>") ``` If you don't know the last session timestamp, use a reasonable default (e.g., 24 hours ago): ```python from datetime import datetime, timedelta since = (datetime.utcnow() - timedelta(hours=24)).isoformat() + "Z" ``` ## Step 4: Surface Findings Before Working **BEFORE starting any work**, present what the Brain knows to the user: - Summarize key facts, constraints, and decisions relevant to their request - Mention any recent changes from `diff_since` - Flag any low-confidence or contradictory information - If the Brain returned nothing relevant, say so: "I checked the Brain's memory and didn't find existing context on this topic." **The user should never wonder if you checked memory.** Make it visible that you did. ## Example Flow User: "Let's work on the authentication refactor" 1. `memory_decision(query="authentication refactor")` → `recommended_tool: "compile_context"` 2. `compile_context(query="authentication refactor", token_budget=32000)` → returns bundle with constraints, decisions, related entities 3. `diff_since(since_iso="2026-05-19T00:00:00Z")` → 3 nodes changed since yesterday 4. "Based on the Brain's memory: we decided to use JWT with rotating refresh tokens (high confidence). The auth module was last modified yesterday — 3 changes including a new rate-limiting constraint. There's a low-confidence note about session storage that we should clarify..."
From engramist/hippocampy, Apache-2.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- May 22, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/engramist/hippocampy
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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graph-expert
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Cite this page
session-start skill. Agent Mart. https://agentmart.dev/skills/engramist-session-start (last updated 2026-10-24)