#601

Globales Ranking · von 601 Skills

remind AI Agent Skill

Quellcode ansehen: b-open-io/prompts

Critical

Installation

npx skills add b-open-io/prompts --skill remind

10

Installationen

Remind

Recall and search previous Claude Code conversation sessions to find past discussions, decisions, solutions, and context.

How It Works

This skill searches conversation history using two backends:

  1. Scribe DB (preferred) — SQLite FTS5 full-text index at ~/.scribe/scribe.db with 141K+ indexed messages across all AI coding tool sessions. BM25-ranked results, grouped by session.
  2. JSONL fallback — Direct search through ~/.claude/projects/ JSONL conversation files when Scribe isn't available.

The search script at scripts/search.py handles both backends automatically.

When to Use

  • User asks about something from a previous conversation
  • User wants to continue or reference prior work
  • User asks "when did we..." or "remember when..."
  • User needs to find a specific past decision, approach, or code snippet
  • User wants to see what they worked on for a project/timeframe

Workflow

Step 1: Search

Run the search script with the user's query:

python3 "SKILL_DIR/scripts/search.py" "<query>" [options]

Options:

Flag Purpose
--project <path> Filter by project path (substring)
--recent <days> Only search last N days
--limit <n> Max results (default: 10)
--full Force JSONL search (skip Scribe DB)
--json Machine-readable output
--session <id> Read a specific session's messages
--recency-weight <f> Recency weight factor (default: 0.2)
--half-life <days> Recency half-life in days (default: 30)
--no-recency Disable recency weighting

Results are ranked by a blend of BM25 relevance and recency. Recent conversations get a boost that decays exponentially (30-day half-life). Use --no-recency to disable.

Crafting good queries:

  • Use 2-3 specific keywords, not full sentences
  • Technical terms work best: "stripe webhook", "bap identity", "deploy railway"
  • If too many results, add --project or --recent filters
  • If too few results, try broader terms or --full for deeper search

Step 2: Present Results

Summarize what you found in a clear format:

  • Which sessions matched and when they occurred
  • What project each session was in
  • Key snippets showing the relevant context
  • Offer to dive deeper into specific sessions

Step 3: Deep Dive (if needed)

If the user wants more detail from a specific session:

python3 "SKILL_DIR/scripts/search.py" --session <session-id> --json

This returns the full conversation transcript. Summarize the relevant portions — don't dump the whole thing.

Step 4: Read Raw JSONL (last resort)

If neither search backend returns results, you can read the JSONL files directly:

# List all project directories
ls ~/.claude/projects/

# List sessions in a specific project
ls ~/.claude/projects/-Users-satchmo-code-myapp/*.jsonl

# The JSONL format has one JSON object per line with these types:
#   user    — message.content is the user's input
#   assistant — message.content is Claude's response (array of text/tool_use blocks)
#   progress — tool execution progress
#   system   — system messages

Session index files (where available) provide quick metadata:

# Check for pre-built session index
cat ~/.claude/projects/<project-dir>/sessions-index.json
# Contains: sessionId, firstPrompt, summary, created, modified, gitBranch, messageCount

Tips

  • Scribe reindex: If Scribe DB exists but results seem stale, the user can rescan with cd ~/code/scribe && bun run packages/cli/src/index.ts scan chat --provider claude
  • Cross-project: Searches span all projects by default. Use --project to narrow.
  • Session IDs: These are UUIDs like 69ad65a8-7499-4fd1-9bae-a3f0fcbb11ed. When presenting results, include session IDs so the user can ask for deep dives.
  • Privacy: Conversation data stays local. Never output sensitive content (keys, tokens) from search results.

Installationen

Installationen 10
Globales Ranking #601 von 601

Sicherheitsprüfung

ath Safe
socket Critical
Warnungen: 1 Bewertung: 77
snyk Low
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So verwenden Sie diesen Skill

1

Install remind by running npx skills add b-open-io/prompts --skill remind in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für remind, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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