Use gifgrep to search GIF providers (Tenor/Giphy), browse in a TUI, download results, and extract stills or sheets.
Works with
Use gifgrep to search GIF providers (Tenor/Giphy), browse in a TUI, download results, and extract stills or sheets.
GIF-Grab (gifgrep workflow)
Quick start
gifgrep cats --max 5gifgrep cats --format url | head -n 5gifgrep search --json cats | jq '.[0].url'gifgrep tui "office handshake"gifgrep cats --download --max 1 --format urlTUI + previews
gifgrep tui "query"--thumbs (Kitty/Ghostty only; still frame)Download + reveal
--download saves to ~/Downloads--reveal shows the last download in FinderStills + sheets
gifgrep still ./clip.gif --at 1.5s -o still.pnggifgrep sheet ./clip.gif --frames 9 --cols 3 -o sheet.png--frames (count), --cols (grid width), --padding (spacing).Providers
--source auto|tenor|giphyGIPHY_API_KEY required for --source giphyTENOR_API_KEY optional (Tenor demo key used if unset)Output
--json prints an array of results (id, title, url, preview_url, tags, width, height)--format for pipe-friendly fields (e.g., url)Environment tweaks
GIFGREP_SOFTWARE_ANIM=1 to force software animationGIFGREP_CELL_ASPECT=0.5 to tweak preview geometryAI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongifgrepExecute the skills CLI command in your project's root directory to begin installation:
Fetches gifgrep from steipete/clawdis and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gifgrep. Access via /gifgrep in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Run in your terminal
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Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
jezweb/claude-skills
gifgrep is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in gifgrep — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend gifgrep for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for gifgrep matched our evaluation — installs cleanly and behaves as described in the markdown.
gifgrep has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend gifgrep for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in gifgrep — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: gifgrep is focused, and the summary matches what you get after install.
Registry listing for gifgrep matched our evaluation — installs cleanly and behaves as described in the markdown.
gifgrep fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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