#!/bin/bash # # Install Hindsight Agent Skill # # Usage: # curl -fsSL https://hindsight.vectorize.io/get-skill | bash # # Options: # --app Target app: claude, opencode, codex # # Examples: # curl -fsSL https://hindsight.vectorize.io/get-skill | bash -s -- --app claude # curl -fsSL https://hindsight.vectorize.io/get-skill | bash -s -- --app opencode # set -e # Colors for output RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[1;33m' BLUE='\033[0;34m' CYAN='\033[0;36m' BOLD='\033[1m' DIM='\033[2m' NC='\033[0m' # No Color print_info() { echo -e "${BLUE}ℹ${NC} $1" } print_success() { echo -e "${GREEN}✓${NC} $1" } print_error() { echo -e "${RED}✗${NC} $1" exit 1 } print_warning() { echo -e "${YELLOW}⚠${NC} $1" } print_step() { echo "" echo -e "${BOLD}${CYAN}▸ $1${NC}" echo "" } print_banner() { echo "" # ANSI logo echo -e " \033[38;2;9;127;184m▄\033[0m\033[48;2;8;130;178m\033[38;2;5;133;186m▄\033[0m \033[48;2;10;143;160m\033[38;2;10;143;165m▄\033[0m\033[38;2;7;140;156m▄\033[0m " echo -e " \033[38;2;8;125;192m▄\033[0m \033[38;2;3;132;191m▀\033[0m\033[38;2;2;133;192m▄\033[0m \033[38;2;3;132;180m▄\033[0m\033[38;2;1;137;184m▄\033[0m\033[38;2;3;133;174m▄\033[0m \033[38;2;3;142;176m▄\033[0m\033[38;2;4;142;169m▀\033[0m \033[38;2;10;144;164m▄\033[0m " echo -e "\033[38;2;6;121;195m▀\033[0m\033[38;2;5;128;203m▀\033[0m\033[48;2;5;124;195m\033[38;2;3;125;200m▄\033[0m\033[38;2;2;126;196m▄\033[0m\033[48;2;3;128;188m\033[38;2;1;131;196m▄\033[0m\033[48;2;0;152;219m\033[38;2;2;131;191m▄\033[0m\033[38;2;1;141;196m▀\033[0m\033[38;2;1;135;183m▀\033[0m\033[38;2;1;148;198m▀\033[0m\033[48;2;1;156;202m\033[38;2;2;135;180m▄\033[0m\033[48;2;4;134;169m\033[38;2;1;137;177m▄\033[0m\033[38;2;3;138;173m▄\033[0m\033[48;2;6;137;165m\033[38;2;2;140;170m▄\033[0m\033[38;2;7;144;169m▀\033[0m\033[38;2;7;139;158m▀\033[0m" echo -e " \033[48;2;2;128;202m\033[38;2;2;124;201m▄\033[0m\033[48;2;1;130;201m\033[38;2;0;135;212m▄\033[0m\033[38;2;2;128;196m▄\033[0m \033[48;2;2;142;204m\033[38;2;7;138;199m▄\033[0m \033[38;2;1;135;186m▄\033[0m\033[48;2;1;142;186m\033[38;2;2;144;194m▄\033[0m\033[48;2;3;138;176m\033[38;2;2;134;176m▄\033[0m " echo -e " \033[48;2;8;118;200m\033[38;2;8;121;209m▄\033[0m\033[38;2;3;121;203m▀\033[0m \033[38;2;3;122;192m▀\033[0m\033[38;2;1;138;216m▀\033[0m\033[48;2;0;138;210m\033[38;2;3;128;198m▄\033[0m\033[48;2;0;126;188m\033[38;2;2;131;198m▄\033[0m\033[48;2;0;142;205m\033[38;2;3;132;193m▄\033[0m\033[38;2;1;140;196m▀\033[0m \033[38;2;4;134;175m▀\033[0m\033[48;2;13;135;167m\033[38;2;8;136;174m▄\033[0m " echo "" echo -e " ${BOLD}HINDSIGHT SKILL INSTALLER${NC}" echo -e " ${DIM}Give your AI agent persistent memory${NC}" echo "" } # Embedded SKILL.md content SKILL_CONTENT='--- name: hindsight description: Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. --- # Hindsight Memory Skill You have persistent memory via the `hindsight-embed` CLI. **Proactively store learnings and recall context** to provide better assistance. ## Commands ### Store a memory Use `memory retain` to store what you learn: ```bash uvx hindsight-embed memory retain default "User prefers TypeScript with strict mode" uvx hindsight-embed memory retain default "Running tests requires NODE_ENV=test" --context procedures uvx hindsight-embed memory retain default "Build failed when using Node 18, works with Node 20" --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. **Be specific**: Store "npm test requires --experimental-vm-modules flag" not "tests need a flag" 3. **Include outcomes**: Store what worked AND what did not work 4. **Recall first**: Always check for relevant context before starting work ' # Get skills directory for app (bash 3.x compatible) get_skills_dir() { case "$1" in claude) echo "$HOME/.claude/skills" ;; opencode) echo "$HOME/.opencode/skills" ;; codex) echo "$HOME/.codex/skills" ;; *) echo "" ;; esac } # Get app display name (bash 3.x compatible) get_app_name() { case "$1" in claude) echo "Claude Code" ;; opencode) echo "OpenCode" ;; codex) echo "Codex CLI" ;; *) echo "$1" ;; esac } # Parse arguments APP="" show_usage() { echo "Usage: $0 [--app ]" echo "" echo "Options:" echo " --app Target app: claude, opencode, codex" echo "" echo "Examples:" echo " $0 --app claude" echo " $0 --app opencode" exit 1 } while [[ $# -gt 0 ]]; do case $1 in --app) APP="$2" shift 2 ;; --help|-h) show_usage ;; *) print_error "Unknown option: $1" ;; esac done # Show banner print_banner # Validate app parameter if [ -z "$APP" ]; then # Check if we have a terminal for interactive prompts if [ -t 0 ] || [ -e /dev/tty ]; then echo -e "${DIM}Select your AI coding assistant:${NC}" echo "" echo -e " ${BOLD}1)${NC} Claude Code" echo -e " ${BOLD}2)${NC} OpenCode" echo -e " ${BOLD}3)${NC} Codex CLI" echo "" # Use /dev/tty for input if stdin is piped if [ -t 0 ]; then read -p "Enter choice [1]: " app_choice else read -p "Enter choice [1]: " app_choice /dev/null && ! command -v uvx &> /dev/null; then print_error "Python 3 or uvx is required.\nInstall from https://python.org or https://docs.astral.sh/uv/" fi print_success "Python/uvx available" # Step 2: Configure LLM provider using the CLI print_step "Configuring LLM provider" # Install/run hindsight-embed configure # Redirect stdin from /dev/tty to avoid "not a terminal" warnings if command -v uvx &> /dev/null; then uvx hindsight-embed configure "$SKILLS_DIR/hindsight/SKILL.md" print_success "Installed to $SKILLS_DIR/hindsight/" # Done! echo "" echo -e "${GREEN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}" echo -e "${GREEN} ✓ Installation Complete!${NC}" echo -e "${GREEN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}" echo "" echo -e " The Hindsight skill is now available in ${BOLD}$APP_NAME${NC}." echo "" echo -e " ${DIM}Test the CLI:${NC}" echo -e " ${CYAN}uvx hindsight-embed memory retain default \"Test memory\"${NC}" echo -e " ${CYAN}uvx hindsight-embed memory recall default \"test\"${NC}" echo "" echo -e " ${DIM}$APP_NAME will automatically use the skill when relevant.${NC}" echo "" echo -e " ${DIM}Documentation:${NC} ${BLUE}https://hindsight.vectorize.io${NC}" echo ""