Agent skill

Redis Caching

by cohen-liel in cohen-liel/hivemind

Redis caching and queue patterns. An agent skill from cohen-liel/hivemind.

Apache-2.0Auto-check passedBackend & APIs

Install Redis Caching

skills CLI
$ npx skills add cohen-liel/hivemind --skill redis-caching -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cohen-liel/hivemind redis-caching --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cohen-liel/hivemind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/redis-caching .claude/skills/redis-caching && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
redis-caching
GitHub stars
110
Token cost
~873 tokens
SKILL.md length
71 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

Redis caching and queue patterns. An agent skill from cohen-liel/hivemind.

  • Implementing caching
  • SKILL.md covers Connection (Python), Caching Pattern, Rate Limiting and Session Storage, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Session storage

What it does

Redis Caching is an agent skill from cohen-liel/hivemind. Redis caching and queue patterns. Use when implementing caching, rate limiting, session storage, pub/sub, or background job queues with Redis.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Caching, Rate limiting and Event-driven systems. It works with Redis. The repository describes itself as: One prompt. A full AI engineering team. Go lie on the couch. 🧠. The licence is Apache-2.0.

When your agent uses it

  • Implementing caching
  • Session storage
  • Background job queues with Redis

Example prompts

  • “/redis-caching”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 918dd9b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Redis Caching loads about 873 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 71 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~873

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from cohen-liel/hivemind at commit 918dd9b, republished under its Apache-2.0 licence (© cohen-liel). 71 words, ~873 tokens.

Download SKILL.mdSave it as .claude/skills/redis-caching/SKILL.md (or your agent's skills folder).
name
redis-caching
description
Redis caching and queue patterns. Use when implementing caching, rate limiting, session storage, pub/sub, or background job queues with Redis.

Redis Patterns

Connection (Python)

python
import redis.asyncio as redis

# Create pool once at startup
redis_pool = redis.ConnectionPool.from_url(
    settings.REDIS_URL,
    max_connections=10,
    decode_responses=True
)

async def get_redis() -> redis.Redis:
    return redis.Redis(connection_pool=redis_pool)

Caching Pattern

python
async def get_user(user_id: int, db: AsyncSession, r: redis.Redis) -> User:
    cache_key = f"user:{user_id}"

    # Try cache first
    cached = await r.get(cache_key)
    if cached:
        return User.model_validate_json(cached)

    # Cache miss — fetch from DB
    user = await db.get(User, user_id)
    if not user:
        raise HTTPException(404, "User not found")

    # Cache for 5 minutes
    await r.setex(cache_key, 300, user.model_dump_json())
    return user

async def invalidate_user_cache(user_id: int, r: redis.Redis):
    await r.delete(f"user:{user_id}")

Rate Limiting

python
async def check_rate_limit(identifier: str, limit: int, window: int, r: redis.Redis):
    """Sliding window rate limit. Raises 429 if over limit."""
    key = f"ratelimit:{identifier}"
    pipe = r.pipeline()
    now = time.time()

    pipe.zremrangebyscore(key, 0, now - window)  # Remove old entries
    pipe.zadd(key, {str(now): now})               # Add current request
    pipe.zcard(key)                               # Count requests in window
    pipe.expire(key, window)
    results = await pipe.execute()

    if results[2] > limit:
        raise HTTPException(429, f"Rate limit exceeded. Try again in {window}s.")

Session Storage

python
import secrets

async def create_session(user_id: int, r: redis.Redis) -> str:
    session_id = secrets.token_urlsafe(32)
    await r.setex(
        f"session:{session_id}",
        3600 * 24 * 7,  # 7 days
        json.dumps({"user_id": user_id, "created_at": time.time()})
    )
    return session_id

async def get_session(session_id: str, r: redis.Redis) -> dict | None:
    data = await r.get(f"session:{session_id}")
    return json.loads(data) if data else None

async def delete_session(session_id: str, r: redis.Redis):
    await r.delete(f"session:{session_id}")

Pub/Sub (Real-time)

python
# Publisher
async def publish_event(channel: str, data: dict, r: redis.Redis):
    await r.publish(channel, json.dumps(data))

# Subscriber
async def subscribe_loop(channel: str, r: redis.Redis):
    async with r.pubsub() as pubsub:
        await pubsub.subscribe(channel)
        async for message in pubsub.listen():
            if message["type"] == "message":
                data = json.loads(message["data"])
                await handle_event(data)

Key Naming Convention

user:{id}              # User cache
session:{token}        # User session
ratelimit:{ip}:{route} # Rate limit counter
lock:{resource}        # Distributed lock
queue:{name}           # Task queue

Rules

  • Always set TTL (SETEX not SET) — never let keys grow forever
  • Use pipelines for multiple operations (reduces round trips)
  • Key names must be namespaced: user:123, not just 123
  • Use SCAN not KEYS in production (KEYS blocks Redis)
  • Monitor memory: set maxmemory and maxmemory-policy in redis.conf
  • For distributed locks: use Redlock algorithm, not simple SET NX

© cohen-liel, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/redis-caching of cohen-liel/hivemind.

Open the folder on GitHubat commit 918dd9b

Compare with similar skills

Redis Caching next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Redis Caching compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Redis Caching this skillcohen-liel/hivemind110—~873Automated safety check: PassApache-2.0
Redis Patternsaffaan-m/ECC276k1 repos~3kAutomated safety check: PassMIT
Amazon Elasticacheaws/agent-toolkit-for-aws2.8k—~4.5kAutomated safety check: PassApache-2.0
Rediskid-sid/claude-spellbook190—~4.4kAutomated safety check: PassMIT
FoundatioFoundatioFx/Foundatio2.1k—~3.9kAutomated safety check: PassApache-2.0
Spring Data Redisrrezartprebreza/spring-boot-skills301—~1.6kAutomated safety check: PassMIT

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Works with

Questions about Redis Caching

What does Redis Caching do?

Redis caching and queue patterns. An agent skill from cohen-liel/hivemind. Redis Caching is an agent skill from cohen-liel/hivemind. Redis caching and queue patterns.

When should I use Redis Caching?

Redis Caching fits situations like: implementing caching; session storage; background job queues with Redis.

How do I install Redis Caching in Claude Code?

Run `npx skills add cohen-liel/hivemind --skill redis-caching -a claude-code`. Or copy the skill folder (.claude/skills/redis-caching in cohen-liel/hivemind) into .claude/skills/redis-caching in your project. Claude Code loads it when a task matches its description.

How do I install Redis Caching in Codex?

Run `npx skills add cohen-liel/hivemind --skill redis-caching -a codex`. Or copy the skill folder (.claude/skills/redis-caching in cohen-liel/hivemind) into .agents/skills/redis-caching in your project. Codex loads it when a task matches its description.

Can I use Redis Caching in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cohen-liel/hivemind --skill redis-caching -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/redis-caching, .gemini/skills/redis-caching, .github/skills/redis-caching and .opencode/skills/redis-caching in your project.

What does Redis Caching need to run?

SKILL.md names no scripts, command-line tools or credentials: Redis Caching is instructions for the agent only. Our summary lists: Python 3.

Does Redis Caching access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Redis Caching safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Redis Caching use?

Redis Caching is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Redis Caching use?

About 873 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Redis Caching?

Skills that share tags, products or a category with Redis Caching: Redis Patterns (affaan-m/ECC, 276k stars), Amazon Elasticache (aws/agent-toolkit-for-aws, 2.8k stars), Redis (kid-sid/claude-spellbook, 190 stars) and Foundatio (FoundatioFx/Foundatio, 2.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Redis Caching?

cohen-liel (a GitHub user) maintains it in cohen-liel/hivemind, which has 110 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on April 18, 2026.

Source: cohen-liel/hivemind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.