presentation
Skill0 starsChanged 2 months agoApache-2.0View on GitHub
Author a local, review-gated Slidev presentation from a normalized event brief and optional research.
24 other projects use a version of this.
Adopted by
Most recently taken up by
- shkodnik1917/claude-brainlabtheir own version, first seen Nov 8, 2026
- AlekseiUL/heisenberg-team-GPTtheir own version, first seen Nov 1, 2026
- AlekseiUL/heisenberg-teamtheir own version, first seen Nov 1, 2026
- AlekseiUL/sprut-agent-kittheir own version, first seen Nov 1, 2026
- Vepricov/claude-brainlabtheir own version, first seen Nov 1, 2026
- shekerkamma/cc-best-practicetheir own version, first seen Oct 20, 2026
Used with
Projects with it also use TubeScribe, deep-research-pro and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
AlekseiULSkillTubeScribe
YouTube video summarizer with speaker detection, formatted documents, and audio output. Works out of the box with macOS built-in TTS. Optional recommended tools (pandoc, ffmpeg, mlx-audio) enhance quality. Requires internet for YouTube access. No paid APIs or subscriptions. Use when user sends a YouTube URL or asks to summarize/transcribe a YouTube video.
Also in 3 projects that use this
GPTtangSkilldeep-research-pro
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Also in 3 projects that use this
vanzan01Skilltweet-writer
Format instructions for writing tweets.
Also in 3 projects that use this
vijpatel7Skillaudit-website
Audit websites for SEO, performance, security, technical, content, and 15 other issue cateories with 150+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use to discover and asses website or webapp issues and health.
Also in 3 projects that use this
ReScienceLabSkillreddit
Search and retrieve content from Reddit. Get posts, comments, subreddit info, and user profiles via the public JSON API. Use when user mentions Reddit, a subreddit, or r/ links.
Also in 3 projects that use this
sirakinbSkilllast30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
Also in 3 projects that use this
Other versions24 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 24
- iii-hq/iii★ 19ksame name
- MotiaDev/motia★ 19ksame name
- thedesignproject/agent-skills★ 88same name
- AlekseiUL/sprut-agent-kit★ 66same name
- AlemTuzlak/skills★ 45same name
- shkodnik1917/claude-brainlab★ 35same name
- Vepricov/claude-brainlab★ 35same name
- aisa-group/promptinject-agent-skills★ 22same name
- AlekseiUL/heisenberg-team★ 17same name
- AlekseiUL/heisenberg-team-GPT★ 9same name
14 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- clean-task-panelSkill
- explainSkill
- graphicSkill
- jiraSkill
- meeting-analysisSkill
- report-feedbackSkill
- research-docSkill
- specSkill
- summarizeSkill
- sync-gitSkill
- teams-message-draftSkill
- teamsSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 21 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use this skill to create a local Slidev deck workflow.
- Distinctive: line 32
Use only the registered layouts and declare every required region.
- Very specific: line 47
After render and contact-sheet, configure PRESENTATION_REVIEWER_DISPATCH and invoke scripts/critic --run <run> --input-digest <digest> …
- Very specific: line 55
Never derive the critic JSON from inspect_dom.cjs.
“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
presentation
Use this skill to create a local Slidev deck workflow. Normalize and validate the brief and every research path before probing the platform or acquiring the deck lock. v1 supports only Slidev and uses artifact-gated researcher, narrative editor, design planner, builder, QA critic, and presenter roles. Every deck requires digest-bound story-outline, representative-visual-system, and final-rehearsal-export approvals. Do not create an external transfer without approved-external classification. Keep generated artifacts under the deck directory rather than the skill. It runs on Linux and macOS; WSL counts as Linux. Native Windows is refused before any deck change, because the deck lock needs flock(2).
Narrative contract
The narrative editor may transform an authoritative content outline into a stage-ready arc while preserving its claims, sources, and required coverage. For talks over 20 minutes, write story.contract.json before story-outline approval with non-empty audience_problem, promise, sections, example_or_demo, transition, callback, and closing_action. The arc must open with an audience promise or tension, show a visible route map, establish section beats, alternate principle and example, include one concrete end-to-end demonstration, call back to the opening, and end with a specific action. Only an explicit narrative_exception in brief.md may opt out; the reason remains reviewable in the committed brief.
Design and QA contract
Use only the registered layouts and declare every required region. body is the default Slidev slot; write other regions as named slots such as ::left::. Add section and optional time_cue metadata to slides so the theme can show movement, progress, and timing. Follow references/voice-and-density.md for layout-aware density and move explanatory detail into speaker notes. The render command resolves manifest.theme.root/tokens/variant into an offline local theme; do not add remote fonts or CDN assets.
The critic review must bind the render digest and explicitly judge hierarchy, composition variety, information density, narrative continuity, audience fit, accessibility, and rehearsal readiness at deck level and on representative slides. An empty findings list is clean only with complete passing coverage. A comparison_target additionally requires an identified human to judge hierarchy, pacing, examples, narrative continuity, actionability, and source rigor. Rendered lint fails closed on missing pages/text, mismatched slide IDs/layouts/slots, token drift, overflow, off-canvas content, low contrast, broken links, or external requests.
After render and contact-sheet, configure PRESENTATION_REVIEWER_DISPATCH and invoke
scripts/critic --run <run> --input-digest <digest> --render-digest <digest> without --review.
That command dispatches the configured visual-review adapter with the contact sheet when present
and every ordered per-slide PNG attached via repeatable -i, constrains the response with
schemas/critic-review.schema.json, validates complete rubric coverage, and records the
attached-image hashes in review_basis before committing critic.fragment.json. The adapter
contract and complete local bootstrap instructions are in DEPENDENCIES.md. If
the variable is unset, the critic fails; it never skips or fabricates the required visual gate.
Never derive the critic JSON from inspect_dom.cjs; DOM inspection is deterministic lint evidence,
not visual review. --review exists only for tests and importing an independently pixel-grounded
review.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

