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Upstash Redis Kv

Community
intellectronica
upstash-redis-kv

Read and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.

Overview

Publisherintellectronica
Repositoryagent-skills
Skill nameupstash-redis-kv
Stars
297
Forks
27
Bundled files
Instructions only
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by intellectronica on GitHub. Read the source before you install it.

Installation

Install the Upstash Redis Kv AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/intellectronica/agent-skills/tree/main/plugins/upstash-redis-kv/skills
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/intellectronica/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/plugins/upstash-redis-kv/skills .claude/skills/upstash-redis-kv
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Upstash Redis Kv in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Upstash Redis Kv on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Upstash Redis Kv is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Upstash Redis Key-Value Store

Interact with Upstash's Redis-compatible key-value store using the REST interface.

Script Location

bash
bun run scripts/upstash-client.ts <command> [args...]

IMPORTANT: Always run with bun run, not directly.

Configuration

Environment Variables

The script uses these environment variables by default:

  • UPSTASH_REDIS_REST_URL - The Upstash REST API URL
  • UPSTASH_REDIS_REST_TOKEN - The Upstash REST API token

Overriding Credentials

If the user provides credentials from another source (conversation context, a file, etc.), use the --url and --token flags to override environment variables:

bash
bun run scripts/upstash-client.ts --url "https://..." --token "AX..." GET mykey

Priority: Command-line flags > Environment variables

Command Reference

String Commands

bash
# Get/Set
GET <key>
SET <key> <value> [--ex seconds] [--px ms] [--nx] [--xx] [--keepttl] [--get]
SETNX <key> <value>                    # Set if not exists
SETEX <key> <seconds> <value>          # Set with expiration

# Multiple keys (key/value pairs)
MGET <key1> [key2...]
MSET <key1> <val1> [key2 val2...]
MSETNX <key1> <val1> [key2 val2...]    # Set all if none exist

# Counters
INCR <key>
INCRBY <key> <increment>
INCRBYFLOAT <key> <increment>
DECR <key>
DECRBY <key> <decrement>

# String manipulation
APPEND <key> <value>
STRLEN <key>
GETRANGE <key> <start> <end>
SETRANGE <key> <offset> <value>

Hash Commands

Hashes store field-value pairs. Pass fields and values as alternating arguments:

bash
# Set hash fields (field/value pairs)
HSET <key> <field1> <val1> [field2 val2...]
HSETNX <key> <field> <value>           # Set field if not exists

# Get hash fields
HGET <key> <field>
HMGET <key> <field1> [field2...]
HGETALL <key>

# Hash operations
HDEL <key> <field1> [field2...]
HEXISTS <key> <field>
HKEYS <key>
HVALS <key>
HLEN <key>
HINCRBY <key> <field> <increment>
HINCRBYFLOAT <key> <field> <increment>
HSCAN <key> <cursor> [MATCH pattern] [COUNT count]

Examples:

bash
# Store user data
bun run scripts/upstash-client.ts HSET user:1 name "John" email "john@example.com" age 30

# Get single field
bun run scripts/upstash-client.ts HGET user:1 name

# Get all fields
bun run scripts/upstash-client.ts HGETALL user:1

# Increment numeric field
bun run scripts/upstash-client.ts HINCRBY user:1 age 1

List Commands

Lists are ordered collections. Values are pushed/popped from left (head) or right (tail):

bash
# Push elements
LPUSH <key> <val1> [val2...]           # Push to head
RPUSH <key> <val1> [val2...]           # Push to tail
LPUSHX <key> <val1> [val2...]          # Push if list exists
RPUSHX <key> <val1> [val2...]

# Pop elements
LPOP <key> [count]
RPOP <key> [count]

# Access elements
LRANGE <key> <start> <stop>            # Get range (0 = first, -1 = last)
LLEN <key>
LINDEX <key> <index>

# Modify
LSET <key> <index> <value>
LREM <key> <count> <value>             # Remove count occurrences
LTRIM <key> <start> <stop>             # Keep only range
LINSERT <key> <BEFORE|AFTER> <pivot> <value>
LPOS <key> <value>
LMOVE <src> <dst> <LEFT|RIGHT> <LEFT|RIGHT>

Examples:

bash
# Create a task queue
bun run scripts/upstash-client.ts RPUSH tasks "task1" "task2" "task3"

# Get all tasks
bun run scripts/upstash-client.ts LRANGE tasks 0 -1

# Pop task from front (FIFO queue)
bun run scripts/upstash-client.ts LPOP tasks

# Pop task from back (LIFO stack)
bun run scripts/upstash-client.ts RPOP tasks

Set Commands

Sets store unique, unordered members:

bash
# Add/remove members
SADD <key> <member1> [member2...]
SREM <key> <member1> [member2...]

# Query
SMEMBERS <key>
SISMEMBER <key> <member>
SMISMEMBER <key> <member1> [member2...]
SCARD <key>

# Random access
SPOP <key> [count]
SRANDMEMBER <key> [count]

# Set operations
SINTER <key1> [key2...]
SINTERSTORE <dest> <key1> [key2...]
SUNION <key1> [key2...]
SUNIONSTORE <dest> <key1> [key2...]
SDIFF <key1> [key2...]
SDIFFSTORE <dest> <key1> [key2...]
SMOVE <src> <dst> <member>
SSCAN <key> <cursor> [MATCH pattern] [COUNT count]

Examples:

bash
# Add tags
bun run scripts/upstash-client.ts SADD article:1:tags "javascript" "redis" "nodejs"

# Check membership
bun run scripts/upstash-client.ts SISMEMBER article:1:tags "javascript"

# Get all members
bun run scripts/upstash-client.ts SMEMBERS article:1:tags

# Find common tags between articles
bun run scripts/upstash-client.ts SINTER article:1:tags article:2:tags

Sorted Set Commands

Sorted sets store members with scores for ranking:

bash
# Add members (score/member pairs)
ZADD <key> <score1> <member1> [score2 member2...] [--nx] [--xx] [--gt] [--lt] [--ch]

# Remove
ZREM <key> <member1> [member2...]
ZREMRANGEBYRANK <key> <start> <stop>
ZREMRANGEBYSCORE <key> <min> <max>

# Scores and ranks
ZSCORE <key> <member>
ZMSCORE <key> <member1> [member2...]
ZRANK <key> <member>                   # Rank (low to high)
ZREVRANK <key> <member>                # Rank (high to low)
ZINCRBY <key> <increment> <member>

# Range queries
ZRANGE <key> <start> <stop> [--withscores] [--rev] [--byscore] [--bylex]
ZRANGEBYSCORE <key> <min> <max> [--withscores] [--limit off,count]
ZREVRANGE <key> <start> <stop> [--withscores]
ZREVRANGEBYSCORE <key> <max> <min> [--withscores] [--limit off,count]

# Counting
ZCARD <key>
ZCOUNT <key> <min> <max>

# Pop
ZPOPMIN <key> [count]
ZPOPMAX <key> [count]

# Set operations
ZINTERSTORE <dest> <numkeys> <key1> [key2...]
ZUNIONSTORE <dest> <numkeys> <key1> [key2...]
ZSCAN <key> <cursor> [MATCH pattern] [COUNT count]

Examples:

bash
# Create leaderboard (score member pairs)
bun run scripts/upstash-client.ts ZADD leaderboard 1000 "player1" 1500 "player2" 1200 "player3"

# Get top 3 with scores (highest first)
bun run scripts/upstash-client.ts ZRANGE leaderboard 0 2 --rev --withscores

# Get player's rank
bun run scripts/upstash-client.ts ZREVRANK leaderboard "player2"

# Increment player's score
bun run scripts/upstash-client.ts ZINCRBY leaderboard 100 "player1"

# Get players with scores between 1000 and 1500
bun run scripts/upstash-client.ts ZRANGEBYSCORE leaderboard 1000 1500 --withscores

Key Commands

bash
# Delete
DEL <key1> [key2...]
UNLINK <key1> [key2...]                # Async delete

# Existence/Type
EXISTS <key1> [key2...]
TYPE <key>

# Expiration
EXPIRE <key> <seconds>
EXPIREAT <key> <timestamp>
PEXPIRE <key> <milliseconds>
PEXPIREAT <key> <timestamp>
TTL <key>
PTTL <key>
PERSIST <key>                          # Remove expiration

# Rename
RENAME <key> <newkey>
RENAMENX <key> <newkey>

# Search
KEYS <pattern>                         # Use with caution in production
SCAN <cursor> [MATCH pattern] [COUNT count]

# Other
COPY <src> <dst>
DUMP <key>
TOUCH <key1> [key2...]
RANDOMKEY
OBJECT ENCODING|FREQ|IDLETIME|REFCOUNT <key>

Examples:

bash
# Set key with 1 hour expiration
bun run scripts/upstash-client.ts SET session:abc "data"
bun run scripts/upstash-client.ts EXPIRE session:abc 3600

# Or in one command
bun run scripts/upstash-client.ts SET session:abc "data" --ex 3600

# Check TTL
bun run scripts/upstash-client.ts TTL session:abc

# Scan keys matching pattern
bun run scripts/upstash-client.ts SCAN 0 MATCH "user:*" COUNT 100

Server Commands

bash
PING [message]
ECHO <message>
DBSIZE
TIME
INFO [section]
FLUSHDB                                # Delete all keys in current DB (DANGEROUS)
FLUSHALL                               # Delete all keys in all DBs (DANGEROUS)

Command Options

SET Options

bash
--ex <seconds>     # Expire in seconds
--px <ms>          # Expire in milliseconds
--exat <ts>        # Expire at Unix timestamp (seconds)
--pxat <ts>        # Expire at Unix timestamp (ms)
--nx               # Only set if key does not exist
--xx               # Only set if key exists
--keepttl          # Retain existing TTL
--get              # Return old value

ZADD Options

bash
--nx               # Only add new members
--xx               # Only update existing members
--gt               # Only update if new score > current
--lt               # Only update if new score < current
--ch               # Return number of changed elements

ZRANGE Options

bash
--withscores       # Include scores in output
--byscore          # Range by score instead of rank
--bylex            # Range by lexicographical order
--rev              # Reverse order
--limit off,count  # Limit results (e.g., --limit 0,10)

Output Format

  • String values: Printed directly
  • null/nil: Prints (nil)
  • Objects/arrays: Pretty-printed as JSON

Confirmation Behaviour

Default: Ask for Confirmation

Before executing any destructive operation (write, modify, or delete), you MUST ask the user for confirmation. This includes:

Write operations:

  • SET, SETNX, SETEX, PSETEX, MSET, MSETNX
  • HSET, HSETNX
  • LPUSH, RPUSH, LPUSHX, RPUSHX, LSET, LINSERT
  • SADD
  • ZADD

Modify operations:

  • INCR, INCRBY, INCRBYFLOAT, DECR, DECRBY
  • APPEND, SETRANGE
  • HINCRBY, HINCRBYFLOAT
  • LREM, LTRIM, LMOVE
  • ZINCRBY

Delete operations:

  • DEL, UNLINK
  • HDEL
  • LPOP, RPOP
  • SREM, SPOP, SMOVE
  • ZREM, ZREMRANGEBYRANK, ZREMRANGEBYSCORE, ZPOPMIN, ZPOPMAX
  • FLUSHDB, FLUSHALL (extra caution)

TTL/Rename operations:

  • EXPIRE, EXPIREAT, PEXPIRE, PEXPIREAT, PERSIST
  • RENAME, RENAMENX

Example confirmation prompt:

"I'm about to HSET user:1 with fields {name: "John", email: "john@example.com"}. Proceed?"

YOLO Mode: Skip Confirmation

If the user indicates they do not want to be asked for confirmation, respect this for all subsequent operations. Indicators include:

  • "YOLO mode"
  • "Don't ask for confirmation"
  • "You're free to make changes without asking"
  • "Just do it"
  • "No need to confirm"
  • "Auto-approve" or "auto-confirm"
  • Any similar phrasing indicating blanket approval

Once YOLO mode is activated, proceed with destructive operations without asking, but still inform the user what was done.

Example:

Set user:1 with {name: "John", email: "john@example.com"} - done.

Error Handling

If credentials are missing or invalid, the script will exit with an error message. Ensure the user has configured either:

  1. Environment variables (UPSTASH_REDIS_REST_URL, UPSTASH_REDIS_REST_TOKEN)
  2. Or provides credentials via --url and --token flags

When to Use This Skill

  • User explicitly asks to store or retrieve data from Upstash/Redis
  • Need to persist data across conversations or sessions
  • Implementing caching for expensive operations
  • Maintaining counters, rate limits, or statistics
  • Storing user preferences or session data
  • Building leaderboards or rankings (sorted sets)
  • Managing queues or task lists (lists)
  • Tagging or categorisation (sets)
  • Storing structured objects (hashes)
  • Any scenario requiring fast key-value storage

Frequently asked questions

What does the Upstash Redis Kv AI skill do?

Read and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.

Why use Upstash Redis Kv on TypingMind?

Because you install it once and use it with any model. Upstash Redis Kv is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Upstash Redis Kv in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/intellectronica/agent-skills/tree/main/plugins/upstash-redis-kv/skills. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Upstash Redis Kv?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Upstash Redis Kv?

As many as you like. As long as a model supports skills, you can use Upstash Redis Kv with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Upstash Redis Kv AI skill free?

Yes. It is published on GitHub by intellectronica under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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