hindsight-local — Claude Code skill: memory and installation
This skill stores preferences, task learnings, and procedure outcomes, then retrieves relevant context before new work begins.
npx skills add vectorize-io/hindsight --skill hindsight-local -a claude-codeWhat hindsight-local does
hindsight-local adds persistent memory through the hindsight-embed CLI. The agent records observations, decisions, working commands, and failure causes with memory retain, then checks them with memory recall before non-trivial work or uses memory reflect to synthesize past context.
The service extracts facts from detailed content, links related entities, and creates temporal and causal relationships. That is why the skill asks for full notes or conversation excerpts rather than short summaries. The --context flag labels a memory as preferences, procedures, or learnings.
Check uvx hindsight-embed daemon status before the first use. If setup has not been completed, uvx hindsight-embed configure asks for an LLM provider and API key; without that setup, the memory commands will not work.
What it helps with
- store coding-style preferences
- record commands that succeeded or failed
- retrieve earlier issues before a task
- synthesize an approach from saved experience
- keep detailed procedure outcomes in memory
Example prompts for the agent
- Save this preference: use explicit type annotations in this project.
- Before starting, recall issues we have encountered in this project.
- Reflect on saved procedures and learnings to suggest an approach for this task.
How to install hindsight-local
1Skills CLI (Vercel)
npx skills add vectorize-io/hindsight --skill hindsight-local -a claude-code2Manually: put the files in place
~/.claude/skills/hindsight-local/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/hindsight-local/
1Skills CLI (Vercel)
npx skills add vectorize-io/hindsight --skill hindsight-local -a codex2Manually: put the files in place
.agents/skills/hindsight-local/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add vectorize-io/hindsight --skill hindsight-local -a cursor2Manually: put the files in place
.cursor/skills/hindsight-local/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install vectorize-io/hindsight hindsight-local2Manually: put the files in place
.github/skills/hindsight-local/SKILL.md1Skills CLI (Vercel)
npx skills add vectorize-io/hindsight --skill hindsight-local -a gemini-cli2Platform CLI
gemini skills install https://github.com/vectorize-io/hindsight --path skills/hindsight-localManually: put the files in place
.devin/skills/hindsight-local/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add vectorize-io/hindsight --skill hindsight-local -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set2
The whole set →Similar
Questions about hindsight-local
How do I install hindsight-local in Claude Code?
Run npx skills add vectorize-io/hindsight --skill hindsight-local -a claude-code, then run npx skills add vectorize-io/hindsight --skill hindsight-local -a claude-code again. The skill file is placed at ~/.claude/skills/hindsight-local/SKILL.md.
What does hindsight-local do?
It saves user preferences, task outcomes, and discovered solutions in persistent Hindsight memory. Before work starts, it retrieves relevant context and can synthesize guidance from saved memories.
What does hindsight-local require to use memory?
First run uvx hindsight-embed daemon status. If Hindsight is not configured, run uvx hindsight-embed configure and provide an LLM provider plus API key.
Source text
SKILL.md · MIT
--- 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: ```bash uvx hindsight-embed daemon status ``` **If this fails or shows "not configured"**, run the interactive setup: ```bash 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: ```bash 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: ```bash 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: ```bash 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: ```bash 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
© vectorize-io · MIT · vectorize-io/hindsight