hindsight-cloud_skill

This skill stores and recalls team knowledge via Hindsight Cloud to provide relevant context before tasks and improve collaboration.
  • Python

1.2k

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill vectorize-io/hindsight --skill hindsight-cloud

  • SKILL.md4.6 KB

Overview

This skill connects your agent to Hindsight Cloud so the team can store and recall shared memories about the codebase, conventions, and task learnings. It helps capture what worked, what failed, and individual preferences so future work is faster and better informed. Use it to persist team knowledge and retrieve relevant context before starting new tasks.

How this skill works

The skill uses the Hindsight CLI and your team bank ID to retain, recall, and reflect on memories in a shared cloud bank. Commands let the agent save concise observations, tag them with contexts (learnings, procedures, preferences), and synthesize relevant memories before making decisions or writing code. Setup requires a configured ~/.hindsight/config with API key and the target bank ID.

When to use it

  • Before starting any non-trivial task or making design decisions
  • When you discover a reproducible fix, workaround, or configuration detail
  • To record team conventions (linting, versions, branch/PR rules)
  • To note individual preferences and communication styles by name
  • When answering questions about architecture, integrations, or past issues

Best practices

  • Store memories immediately and be specific about commands, versions, and outcomes
  • Attribute personal preferences to a named individual, and mark project-wide conventions clearly
  • Include both what worked and what failed to avoid repeating mistakes
  • Recall relevant memories before code changes, tool choices, or reviews
  • Use context tags (learnings, procedures, preferences) to make recall queries precise

Example use cases

  • Retain: record that the project requires Node 20 and tests fail on Node 18
  • Recall: fetch coding standards and preferred formatter before editing files
  • Reflect: synthesize prior approaches to authentication when proposing a change
  • Store: save a working sequence of commands used to fix CI flaky tests
  • Note: capture a teammate's preferred PR format so reviewers get expected detail

FAQ

Install the Hindsight CLI, create ~/.hindsight/config with your API key and api_url, and get your team bank ID to use in commands.

What should I store vs what should I skip?

Store anything that helps the team: conventions, reproducible fixes, tool versions, and named personal preferences. Skip ephemeral or private data not useful to others.

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hindsight-cloud skill by vectorize-io/hindsight | VeilStrat