postgres-optimization

postgres-optimization is a skill for Claude Code, Codex from Bilal140202/the-lord-of-the-skills. It costs 24 tokens per session (1,102 once invoked), scanned A, a copy of postgres-optimization, MIT.

A guide to making PostgreSQL databases run queries and handle connections more efficiently. PostgreSQL is a database system, and the guide covers indexes, query plans, table partitioning, JSONB data, and connection pooling.

In plain words
What is it for?
Use it to design B-tree, composite, partial, covering, GIN, and GiST indexes; inspect EXPLAIN query plans; partition tables; query JSONB; and configure connection pooling.
Why use it?
It helps identify slow queries, choose suitable indexes, reduce unnecessary table work, and manage database connections. It also covers creating indexes without locking a large table for normal use.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to design B-tree, composite, partial, covering, GIN, and GiST indexes; inspect EXPLAIN query plans; partition tables; query JSONB; and configure connection pooling.

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Install with agentmods
npx agentmods add skills/bilal140202/the-lord-of-the-skills/rohitg00__awesome-claude-code-toolkit
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Bilal140202/the-lord-of-the-skills --skill rohitg00__awesome-claude-code-toolkit
Clone the repo
git clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for postgres-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/rohitg00__awesome-claude-code-toolkit/github.svg)](https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/rohitg00__awesome-claude-code-toolkit)
Your own site
<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/rohitg00__awesome-claude-code-toolkit"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/rohitg00__awesome-claude-code-toolkit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for postgres-optimization

Your own site · 80×15
<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/rohitg00__awesome-claude-code-toolkit"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/rohitg00__awesome-claude-code-toolkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,102 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.01102
Opus 5 $0.00012 $0.00551
Sonnet 5 $0.00005 $0.00220
Haiku 4.5 $0.00002 $0.00110

Measured 12d ago against content hash 86c8e8e5d085, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

postgres-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to postgres-optimization — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/fangorn/claude-code/rohitg00__awesome-claude-code-toolkit/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PostgreSQL Optimization

Index Strategies

-- B-tree index for equality and range queries (default)
CREATE INDEX idx_orders_customer_id ON orders (customer_id);

-- Composite index (column order matters: equality columns first, range last)
CREATE INDEX idx_orders_status_created ON orders (status, created_at DESC);

-- Partial index (smaller, faster for filtered queries)
CREATE INDEX idx_orders_pending ON orders (created_at)
  WHERE status = 'pending';

-- Covering index (avoids table lookup entirely)
CREATE INDEX idx_users_email_name ON users (email) INCLUDE (name, avatar_url);

-- GIN index for JSONB containment queries
CREATE INDEX idx_products_metadata ON products USING GIN (metadata);

-- GiST index for full-text search
CREATE INDEX idx_articles_search ON articles USING GiST (
  to_tsvector('english', title || ' ' || body)
);

-- Concurrent index creation (no table lock)
CREATE INDEX CONCURRENTLY idx_large_table_col ON large_table (col);

Reading Query Plans

EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT)
SELECT o.id, o.total, u.name
FROM orders o
JOIN users u ON o.user_id = u.id
WHERE o.status = 'shipped'
  AND o.created_at > NOW() - INTERVAL '30 days'
ORDER BY o.created_at DESC
LIMIT 20;

Key things to look for in the plan:

  • Seq Scan on large tables indicates a missing index
  • Nested Loop with high row estimates suggests missing join index
  • Sort without Index Scan means the sort is happening in memory/disk
  • Buffers: shared hit vs shared read shows cache efficiency

Partitioning

CREATE TABLE events (
    id          BIGINT GENERATED ALWAYS AS IDENTITY,
    event_type  TEXT NOT NULL,
    payload     JSONB NOT NULL,
    created_at  TIMESTAMPTZ NOT NULL DEFAULT NOW()
) PARTITION BY RANGE (created_at);

CREATE TABLE events_2024_q1 PARTITION OF events
    FOR VALUES FROM ('2024-01-01') TO ('2024-04-01');
CREATE TABLE events_2024_q2 PARTITION OF events
    FOR VALUES FROM ('2024-04-01') TO ('2024-07-01');

-- Index on each partition (inherited automatically in PG 11+)
CREATE INDEX ON events (created_at, event_type);

Read the full file on GitHub · 148 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 148 lines · 24 tokens per session scan A 86c8e8e5d085

Subscribe to this mod's changes

postgres-optimization is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 1,102 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to postgres-optimization, differing in 0 lines, and is treated as a copy.

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