skills/slack-gif-creator/SKILL.md
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
npx skillsauth add MoonBoi9001/claude-code-cli-tools slack-gif-creatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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A toolkit providing utilities and knowledge for creating animated GIFs optimized for Slack.
Dimensions:
Parameters:
from core.gif_builder import GIFBuilder
from PIL import Image, ImageDraw
# 1. Create builder
builder = GIFBuilder(width=128, height=128, fps=10)
# 2. Generate frames
for i in range(12):
frame = Image.new('RGB', (128, 128), (240, 248, 255))
draw = ImageDraw.Draw(frame)
# Draw your animation using PIL primitives
# (circles, polygons, lines, etc.)
builder.add_frame(frame)
# 3. Save with optimization
builder.save('output.gif', num_colors=48, optimize_for_emoji=True)
If a user uploads an image, consider whether they want to:
Load and work with images using PIL:
from PIL import Image
uploaded = Image.open('file.png')
# Use directly, or just as reference for colors/style
When drawing graphics from scratch, use PIL ImageDraw primitives:
from PIL import ImageDraw
draw = ImageDraw.Draw(frame)
# Circles/ovals
draw.ellipse([x1, y1, x2, y2], fill=(r, g, b), outline=(r, g, b), width=3)
# Stars, triangles, any polygon
points = [(x1, y1), (x2, y2), (x3, y3), ...]
draw.polygon(points, fill=(r, g, b), outline=(r, g, b), width=3)
# Lines
draw.line([(x1, y1), (x2, y2)], fill=(r, g, b), width=5)
# Rectangles
draw.rectangle([x1, y1, x2, y2], fill=(r, g, b), outline=(r, g, b), width=3)
Don't use: Emoji fonts (unreliable across platforms) or assume pre-packaged graphics exist in this skill.
Graphics should look polished and creative, not basic. Here's how:
Use thicker lines - Always set width=2 or higher for outlines and lines. Thin lines (width=1) look choppy and amateurish.
Add visual depth:
create_gradient_background)Make shapes more interesting:
Pay attention to colors:
For complex shapes (hearts, snowflakes, etc.):
Be creative and detailed! A good Slack GIF should look polished, not like placeholder graphics.
core.gif_builder)Assembles frames and optimizes for Slack:
builder = GIFBuilder(width=128, height=128, fps=10)
builder.add_frame(frame) # Add PIL Image
builder.add_frames(frames) # Add list of frames
builder.save('out.gif', num_colors=48, optimize_for_emoji=True, remove_duplicates=True)
core.validators)Check if GIF meets Slack requirements:
from core.validators import validate_gif, is_slack_ready
# Detailed validation
passes, info = validate_gif('my.gif', is_emoji=True, verbose=True)
# Quick check
if is_slack_ready('my.gif'):
print("Ready!")
core.easing)Smooth motion instead of linear:
from core.easing import interpolate
# Progress from 0.0 to 1.0
t = i / (num_frames - 1)
# Apply easing
y = interpolate(start=0, end=400, t=t, easing='ease_out')
# Available: linear, ease_in, ease_out, ease_in_out,
# bounce_out, elastic_out, back_out
core.frame_composer)Convenience functions for common needs:
from core.frame_composer import (
create_blank_frame, # Solid color background
create_gradient_background, # Vertical gradient
draw_circle, # Helper for circles
draw_text, # Simple text rendering
draw_star # 5-pointed star
)
Offset object position with oscillation:
math.sin() or math.cos() with frame indexScale object size rhythmically:
math.sin(t * frequency * 2 * math.pi) for smooth pulseObject falls and bounces:
interpolate() with easing='bounce_out' for landingeasing='ease_in' for falling (accelerating)Rotate object around center:
image.rotate(angle, resample=Image.BICUBIC)Gradually appear or disappear:
Image.blend(image1, image2, alpha)Move object from off-screen to position:
interpolate() with easing='ease_out' for smooth stopeasing='back_out'Scale and position for zoom effect:
Create particles radiating outward:
x += vx, y += vyvy += gravity_constantOnly when asked to make the file size smaller, implement a few of the following methods:
num_colors=48 instead of 128remove_duplicates=True in save()optimize_for_emoji=True auto-optimizes# Maximum optimization for emoji
builder.save(
'emoji.gif',
num_colors=48,
optimize_for_emoji=True,
remove_duplicates=True
)
This skill provides:
It does NOT provide:
Note on user uploads: This skill doesn't include pre-built graphics, but if a user uploads an image, use PIL to load and work with it - interpret based on their request whether they want it used directly or just as inspiration.
Be creative! Combine concepts (bouncing + rotating, pulsing + sliding, etc.) and use PIL's full capabilities.
pip install pillow imageio numpy
development
Run a deep multi-agent review of a GitHub PR — 6 specialized agents covering architecture, correctness, security, tests, code quality, and integration. ONLY trigger when the user's message contains the explicit phrase 'deep review' (e.g. 'deep review this PR', 'deep review PR #1234', 'do a deep review of 1234', '/deep-review'). Do NOT trigger on bare 'review', 'review this', 'review the PR', 'code review', 'what do you think of this PR', or pasted PR URLs without 'deep review' in the message — those are handled by the lighter /review skill. The literal phrase 'deep review' must appear in the user's message; absence of that phrase means do not invoke this skill.
data-ai
--- name: re-explain description: Re-explain a concept from the ground up when an earlier explanation didn't land. Trigger aggressively whenever the user signals confusion about recent technical content — phrases like "i don't get it", "from scratch", "ground up", "explain again", "this makes no sense", "try again", "you need to work better", "what's X" (where X was something just mentioned), or invoking /re-explain directly. Also trigger on quieter cues like the user re-quoting a phrase from th
development
Load a high-fidelity recap of a prior Claude Code session into the current session's context. The goal is to be LESS lossy than running /compact would be — the user is invoking this skill precisely because /compact discards detail they need. Use this when the user wants to "resume", "pick up", "continue", or "load context from" a previous session — especially a long one (hundreds of thousands of tokens) where actually resuming the session would be prohibitively expensive, or where the session was auto-compacted mid-flow and a lot of detailed work happened after the last compaction that another /compact pass would crush. Also trigger on phrases like "recap the last session", "what was I working on yesterday", "load the prior chat", or "/load-prior-session". The skill extracts via a subagent so the full transcript never enters the current session's context.
development
Convert the most recent code review in the conversation into a grouped numbered checklist (Decisions needed / Fixes / Polish) of issues to fix. Use this skill whenever the user wants to extract, list, summarize, or triage the issues a reviewer raised — including phrasings like "list the issues from that review", "make me a todo from the review", "turn the review into a checklist", "what did the review flag", "summarize that review as a list", "give me every nit from above", or "/review-todo". Trigger especially as a natural follow-up to /review, /deep-review, /security-review, /ultrareview, or any pasted PR / inline review the user wants to act on. The output is a numbered list of every concrete issue the review raised, grouped under bold section headings, with file:line references appended in parentheses, and decision items rendered with a `→` arrow callout below the description posing the specific question — and lettered choices below that when the reviewer named discrete alternatives.