/hindsight-local
Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user)
$ npx -y skills add vectorize-io/hindsight --skill hindsight-local --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/hindsight-local
Context preview
The summary Claude sees to decide when to auto-load this skill.
Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user)
SKILL.md
hindsight-local.SKILL.mdname: hindsight-local
description: Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user)
Hindsight Memory Skill (Local)
You have persistent memory via the `hindsight-embed` CLI. **Proactively store learnings and recall context** to provide better assistance.
Setup Check (First-Time Only)
Before using memory commands, verify Hindsight is configured:
uvx hindsight-embed daemon status
**If this fails or shows "not configured"**, run the interactive setup:
uvx hindsight-embed configure
This will prompt for an LLM provider and API key. After setup, the commands below will work.
How Hindsight Works
When you call `retain`, Hindsight does **not** store the string as-is. The server runs an internal pipeline that:
1. **Extracts structured facts** from the content using an LLM 2. **Identifies entities** (people, tools, concepts) and links related facts 3. **Builds temporal and causal relationships** between facts 4. **Generates embeddings** for semantic search
This means you should pass **rich, full-context content** — the server is better at extracting what matters than a pre-summarized string. Your job is to decide **when** to store, not **what** to extract.
Commands
Store a memory
Use `memory retain` to store what you learn. Pass the full context — raw observations, session notes, conversation excerpts, or detailed descriptions:
uvx hindsight-embed memory retain default "User is working on a TypeScript project. They enabled strict mode and prefer explicit type annotations over inference."
uvx hindsight-embed memory retain default "Ran the test suite with NODE_ENV=test. Tests pass. Without NODE_ENV=test, the suite fails with a missing config error." --context procedures
uvx hindsight-embed memory retain default "Build failed on Node 18 with error 'ERR_UNSUPPORTED_ESM_URL_SCHEME'. Switched to Node 20 and build succeeded." --context learnings
You can also pass a raw conversation transcript with timestamps:
uvx hindsight-embed memory retain default "[2026-03-16T10:12:03] User: The auth tests keep failing on CI but pass locally. Any idea?
[2026-03-16T10:12:45] Assistant: Let me check the CI logs. Looks like the tests are running without the TEST_DATABASE_URL env var set — they fall back to the production DB URL and hit a connection timeout.
[2026-03-16T10:13:20] User: Ah right, I never added that to the CI secrets. Adding it now.
[2026-03-16T10:15:02] User: That fixed it. All green now." --context learnings
Recall memories
Use `memory recall` BEFORE starting tasks to get relevant context:
uvx hindsight-embed memory recall default "user preferences for this project"
uvx hindsight-embed memory recall default "what issues have we encountered before"
Reflect on memories
Use `memory reflect` to synthesize context:
uvx hindsight-embed memory reflect default "How should I approach this task based on past experience?"
IMPORTANT: When to Store Memories
**Always store** after you learn something valuable:
User Preferences
- Coding style (indentation, naming conventions, language preferences)
- Tool preferences (editors, linters, formatters)
- Communication preferences
- Project conventions
Procedure Outcomes
- Steps that successfully completed a task
- Commands that worked (or failed) and why
- Workarounds discovered
- Configuration that resolved issues
Learnings from Tasks
- Bugs encountered and their solutions
- Performance optimizations that worked
- Architecture decisions and rationale
- Dependencies or version requirements
IMPORTANT: When to Recall Memories
**Always recall** before:
- Starting any non-trivial task
- Making decisions about implementation
- Suggesting tools, libraries, or approaches
- Writing code in a new area of the project
Best Practices
1. **Store immediately**: When you discover something, store it right away 2. **Pass rich context**: Include full observations, not pre-summarized strings — the server extracts facts automatically 3. **Include outcomes**: Store what happened AND why, including failures and workarounds 4. **Recall first**: Always check for relevant context before starting work 5. **Use `--context` for metadata**: The `--context` flag labels the type of memory (e.g., `procedures`, `learnings`, `preferences`), not a replacement for full content
Read more
name: hindsight-local description: Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user)
Hindsight Memory Skill (Local)
You have persistent memory via the `hindsight-embed` CLI. **Proactively store learnings and recall context** to provide better assistance.
Setup Check (First-Time Only)
Before using memory commands, verify Hindsight is configured:
uvx hindsight-embed daemon status
**If this fails or shows "not configured"**, run the interactive setup:
uvx hindsight-embed configure
This will prompt for an LLM provider and API key. After setup, the commands below will work.
How Hindsight Works
When you call `retain`, Hindsight does **not** store the string as-is. The server runs an internal pipeline that:
1. **Extracts structured facts** from the content using an LLM 2. **Identifies entities** (people, tools, concepts) and links related facts 3. **Builds temporal and causal relationships** between facts 4. **Generates embeddings** for semantic search
This means you should pass **rich, full-context content** — the server is better at extracting what matters than a pre-summarized string. Your job is to decide **when** to store, not **what** to extract.
Commands
Store a memory
Use `memory retain` to store what you learn. Pass the full context — raw observations, session notes, conversation excerpts, or detailed descriptions:
uvx hindsight-embed memory retain default "User is working on a TypeScript project. They enabled strict mode and prefer explicit type annotations over inference." uvx hindsight-embed memory retain default "Ran the test suite with NODE_ENV=test. Tests pass. Without NODE_ENV=test, the suite fails with a missing config error." --context procedures uvx hindsight-embed memory retain default "Build failed on Node 18 with error 'ERR_UNSUPPORTED_ESM_URL_SCHEME'. Switched to Node 20 and build succeeded." --context learnings
You can also pass a raw conversation transcript with timestamps:
uvx hindsight-embed memory retain default "[2026-03-16T10:12:03] User: The auth tests keep failing on CI but pass locally. Any idea? [2026-03-16T10:12:45] Assistant: Let me check the CI logs. Looks like the tests are running without the TEST_DATABASE_URL env var set — they fall back to the production DB URL and hit a connection timeout. [2026-03-16T10:13:20] User: Ah right, I never added that to the CI secrets. Adding it now. [2026-03-16T10:15:02] User: That fixed it. All green now." --context learnings
Recall memories
Use `memory recall` BEFORE starting tasks to get relevant context:
uvx hindsight-embed memory recall default "user preferences for this project" uvx hindsight-embed memory recall default "what issues have we encountered before"
Reflect on memories
Use `memory reflect` to synthesize context:
uvx hindsight-embed memory reflect default "How should I approach this task based on past experience?"
IMPORTANT: When to Store Memories
**Always store** after you learn something valuable:
User Preferences
- Coding style (indentation, naming conventions, language preferences)
- Tool preferences (editors, linters, formatters)
- Communication preferences
- Project conventions
Procedure Outcomes
- Steps that successfully completed a task
- Commands that worked (or failed) and why
- Workarounds discovered
- Configuration that resolved issues
Learnings from Tasks
- Bugs encountered and their solutions
- Performance optimizations that worked
- Architecture decisions and rationale
- Dependencies or version requirements
IMPORTANT: When to Recall Memories
**Always recall** before:
- Starting any non-trivial task
- Making decisions about implementation
- Suggesting tools, libraries, or approaches
- Writing code in a new area of the project
Best Practices
1. **Store immediately**: When you discover something, store it right away 2. **Pass rich context**: Include full observations, not pre-summarized strings — the server extracts facts automatically 3. **Include outcomes**: Store what happened AND why, including failures and workarounds 4. **Recall first**: Always check for relevant context before starting work 5. **Use `--context` for metadata**: The `--context` flag labels the type of memory (e.g., `procedures`, `learnings`, `preferences`), not a replacement for full content
Repo: vectorize-io/hindsight
Other skills on hindsight.
- /code-review
Review changed code against project standards. Checks for missing tests, dead code, type safety, lint issues, and coding conventions. Run after completing any implementation work.
Open skill - /hs-release
Cut a core Hindsight release (vX.Y.Z) and open the changelog + blog PR. Use when asked to cut/start a release, bump the version, or publish a new Hindsight version.
Open skill - /create-agent
Create a new Hindsight-powered subagent with long-term memory. Use when the user wants a specialized agent that learns and remembers across sessions.
Open skill - /hindsight-recall
Search long-term memory for relevant context from past coding sessions using Hindsight MCP tools
Open skill - /hindsight-architect
Expert memory architect. Understands your application, identifies where memory adds value, and produces an implementation plan with bank config, tag schema, and code.
Open skill - /hindsight-cloud
Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)
Open skill

