s3-bulk-upload
Upload many files to S3 with automatic organization by first-character prefixes.
Best use case
s3-bulk-upload is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Upload many files to S3 with automatic organization by first-character prefixes.
Teams using s3-bulk-upload should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/s3-sort/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How s3-bulk-upload Compares
| Feature / Agent | s3-bulk-upload | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Upload many files to S3 with automatic organization by first-character prefixes.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
SKILL.md Source
# S3 Bulk Upload
Upload files to S3 with automatic organization using first-character prefixes (e.g., `a/apple.txt`, `b/banana.txt`, `0-9/123.txt`).
## Quick Start
Use the included script for bulk uploads:
```bash
# Basic upload
./s3-bulk-upload.sh ./files my-bucket
# Dry run to preview
./s3-bulk-upload.sh ./files my-bucket --dry-run
# Use sync mode (faster for many files)
./s3-bulk-upload.sh ./files my-bucket --sync
# With storage class
./s3-bulk-upload.sh ./files my-bucket --storage-class STANDARD_IA
```
## Prerequisites
Verify AWS credentials are configured:
```bash
aws sts get-caller-identity
```
If this fails, ensure `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` are set, or configure via `aws configure`.
## Organization Logic
Files are organized by the first character of their filename:
| First Character | Prefix |
|-----------------|--------|
| `a-z` | Lowercase letter (e.g., `a/`, `b/`) |
| `A-Z` | Lowercase letter (e.g., `a/`, `b/`) |
| `0-9` | `0-9/` |
| Other | `_other/` |
## Single File Upload
Upload a single file with automatic prefix:
```bash
FILE="example.txt"
BUCKET="my-bucket"
# Compute prefix from first character
FIRST_CHAR=$(echo "${FILE}" | cut -c1 | tr '[:upper:]' '[:lower:]')
if [[ "$FIRST_CHAR" =~ [a-z] ]]; then
PREFIX="$FIRST_CHAR"
elif [[ "$FIRST_CHAR" =~ [0-9] ]]; then
PREFIX="0-9"
else
PREFIX="_other"
fi
aws s3 cp "$FILE" "s3://${BUCKET}/${PREFIX}/${FILE}"
```
## Bulk Upload
Upload all files from a directory:
```bash
SOURCE_DIR="./files"
BUCKET="my-bucket"
for FILE in "$SOURCE_DIR"/*; do
[ -f "$FILE" ] || continue
BASENAME=$(basename "$FILE")
FIRST_CHAR=$(echo "$BASENAME" | cut -c1 | tr '[:upper:]' '[:lower:]')
if [[ "$FIRST_CHAR" =~ [a-z] ]]; then
PREFIX="$FIRST_CHAR"
elif [[ "$FIRST_CHAR" =~ [0-9] ]]; then
PREFIX="0-9"
else
PREFIX="_other"
fi
aws s3 cp "$FILE" "s3://${BUCKET}/${PREFIX}/${BASENAME}"
done
```
## Efficient Bulk Sync
For large uploads, stage files with symlinks then use `aws s3 sync`:
```bash
SOURCE_DIR="./files"
STAGING_DIR="./staging"
BUCKET="my-bucket"
# Create staging directory with prefix structure
rm -rf "$STAGING_DIR"
mkdir -p "$STAGING_DIR"
for FILE in "$SOURCE_DIR"/*; do
[ -f "$FILE" ] || continue
BASENAME=$(basename "$FILE")
FIRST_CHAR=$(echo "$BASENAME" | cut -c1 | tr '[:upper:]' '[:lower:]')
if [[ "$FIRST_CHAR" =~ [a-z] ]]; then
PREFIX="$FIRST_CHAR"
elif [[ "$FIRST_CHAR" =~ [0-9] ]]; then
PREFIX="0-9"
else
PREFIX="_other"
fi
mkdir -p "$STAGING_DIR/$PREFIX"
ln -s "$(realpath "$FILE")" "$STAGING_DIR/$PREFIX/$BASENAME"
done
# Sync entire staging directory to S3
aws s3 sync "$STAGING_DIR" "s3://${BUCKET}/"
# Clean up
rm -rf "$STAGING_DIR"
```
## Verification
List files by prefix:
```bash
BUCKET="my-bucket"
PREFIX="a"
aws s3 ls "s3://${BUCKET}/${PREFIX}/" --recursive
```
Generate a manifest of all uploaded files:
```bash
BUCKET="my-bucket"
aws s3 ls "s3://${BUCKET}/" --recursive | awk '{print $4}'
```
Count files per prefix:
```bash
BUCKET="my-bucket"
for PREFIX in {a..z} 0-9 _other; do
COUNT=$(aws s3 ls "s3://${BUCKET}/${PREFIX}/" --recursive 2>/dev/null | wc -l | tr -d ' ')
[ "$COUNT" -gt 0 ] && echo "$PREFIX: $COUNT files"
done
```
## Error Handling
Common issues and solutions:
| Error | Cause | Solution |
|-------|-------|----------|
| `AccessDenied` | Insufficient permissions | Check IAM policy has `s3:PutObject` on bucket |
| `NoSuchBucket` | Bucket doesn't exist | Create bucket or check bucket name spelling |
| `InvalidAccessKeyId` | Bad credentials | Verify `AWS_ACCESS_KEY_ID` is correct |
| `ExpiredToken` | Session token expired | Refresh credentials or re-authenticate |
Test bucket access before bulk upload:
```bash
BUCKET="my-bucket"
echo "test" | aws s3 cp - "s3://${BUCKET}/_test_access.txt" && \
aws s3 rm "s3://${BUCKET}/_test_access.txt" && \
echo "Bucket access OK"
```
## Storage Classes
Optimize costs with storage classes:
```bash
# Standard (default)
aws s3 cp file.txt s3://bucket/prefix/file.txt
# Infrequent Access (cheaper storage, retrieval fee)
aws s3 cp file.txt s3://bucket/prefix/file.txt --storage-class STANDARD_IA
# Glacier Instant Retrieval (archive with fast access)
aws s3 cp file.txt s3://bucket/prefix/file.txt --storage-class GLACIER_IR
# Intelligent Tiering (auto-optimize based on access patterns)
aws s3 cp file.txt s3://bucket/prefix/file.txt --storage-class INTELLIGENT_TIERING
```
Add `--storage-class` to bulk upload loops for cost optimization on infrequently accessed files.Related Skills
file-upload
上传文件到内部 BS3 存储(免签名)。Use when user asks to upload files, images, documents to storage, or get a shareable URL for a file.
uploadthing
Uploadthing file hosting — upload, list, and manage files via the Uploadthing API. Simple file uploads with automatic CDN delivery, file metadata, and usage tracking. Built for AI agents — Python stdlib only, zero dependencies. Use for file uploads, file hosting, CDN delivery, media management, and file storage for web apps.
Universal Video to S3 Uploader
Download videos from YouTube, Twitter/X, TikTok, Douyin, Bilibili and upload to S3-compatible storage. Universal video downloader with smart quality selection and audio merging.
storacha-upload
Upload files to IPFS, store on Storacha, upload to decentralized storage, check Storacha status, view storage usage, create Storacha space, switch space, list spaces, retrieve files by CID, open IPFS content, get gateway link, decentralized storage, web3 storage, pin to IPFS, content-addressed storage, store on chain, get my CID, backup to IPFS, share IPFS link, upload directory, remove upload, Storacha delegation, IPFS file sharing, permanent storage, Filecoin backup, manage Storacha account, upload this image, upload this photo, upload this file to storacha, save this to IPFS, put this on IPFS, how much space do I have, how much storage left, check my storage, what's my storage usage, am I running out of space, storage remaining, create a new space, make a space, set up storacha, setup storacha, login to storacha, sign in to storacha, connect storacha, authenticate storacha, show my uploads, what have I uploaded, list my files, my IPFS files, delete this upload, remove this file from storacha, get me the link, give me the IPFS link, share this file, get download link, open this CID, upload pic, upload document, store image, save photo to IPFS, how much space is there, check storacha, storacha status
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.