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Found 86 Skills
Prompt and direct Runway (Gen-4.5, Aleph) — the control-grade generative video tool for camera moves, character consistency, and edit-grade shots. Use when someone wants "a specific camera move," "the same character across multiple shots," "to edit/restyle existing footage," "a branded product/ad shot," "film-style previz," "image to video with Runway" (animate a still), or names Runway / Gen-4 / Gen-4.5 / Aleph / Act-Two / Motion Brush / References. Runway generates clips; a human assembles/edits; audio comes from ai-voiceover; WoopSocial schedules/publishes. Below the ai-video router, sibling to veo-3 (all-round + native audio), kling (native 4K/multi-shot/motion), and luma (cinematic HDR/mood). Consented performances only (Act-Two); AI disclosure mandatory.
Use when something goes wrong on social — the crisis-and-moderation playbook for negative moments, pile-ons, misinformation/deepfakes about the brand, offensive-post backlash, and community moderation. Run when the user says "we're getting piled on," "someone's spreading false info about us," "should we delete/hide this," "a deepfake of our brand," or needs to moderate a community. Reads brand-profile/voice. Confirm facts and triage severity first; acknowledge fast; speak human, not legalese; correct misinformation with evidence, not an apology; moderate fairly (hide abuse, leave honest criticism). HIGH-STAKES and human-in-the-loop: a crisis is when the agent must NOT act autonomously — it triages, drafts holding statements, and can pause/reschedule posts via scheduling-and-queue, while a HUMAN (and legal/leadership for high-severity) approves everything and moderates in-platform. WoopSocial has no comment/inbox/moderation surface; never auto-respond or fabricate facts.
The proof content type — turn real customer reviews, testimonials, UGC, case studies, and results into believable, objection-matched social content that converts. Use when someone wants to share testimonials, post reviews, turn happy customers or a case study into content, reshare UGC, build social proof, or add proof at a decision point. Uses the VOUCH framework. Reads brand-profile + audience-research first. The agent curates + frames REAL proof, matched to the buyer objection; the human sources the proof and secures consent/rights; WoopSocial publishes. Feeds the format writers, design-and-templates, and the placement skills. NEVER fabricate, AI-generate, inflate, or deceptively suppress reviews/testimonials; disclose paid/gifted/insider connections (FTC); get consent + likeness rights; never guarantee conversions. Distinct from ugc-and-influencer (sources/manages creators), storytelling-and-narrative (the narrative craft), and data-and-original-research (originates stats).
The AI avatar / talking-head mini-skill (HeyGen). Use when someone wants an "AI avatar video," "talking-head video," "digital twin / clone of myself on camera," "faceless presenter video," "spokesperson video," or to "translate/localize a video into many languages with lip-sync." The creator/social avatar lane; enterprise L&D/training/SCORM avatar work routes to synthesia, and a real human on camera (founder/trust content) routes to talking-head-and-piece-to-camera. Scripts and sets up the video; HeyGen renders; the human reviews/edits; WoopSocial schedules/ publishes. Sits below the ai-video router, sibling to veo-3. Consented avatars only; AI disclosure mandatory.
The FLUX craft skill (Black Forest Labs) — generate and edit on-brand images with the right variant and license. Use when someone wants to generate images with FLUX/FLUX.2/Kontext, edit a generated image, keep a character or product consistent across a campaign, render legible text in images, get brand-exact colors, pick between FLUX variants, or asks if their FLUX use is commercially licensed. Uses the PIXEL framework. Reads image-prompt + brand-profile + design-and-templates first. The agent writes prompts/edit instructions and can call the API where connected; the HUMAN judges every image; WoopSocial publishes. License spine: [dev] outputs are commercial-OK but self-hosting for a commercial service needs a paid BFL tier; Apache-2.0 paths are [schnell]/[klein] 4B. Never use unpermitted likeness, clone trade dress, strip provenance, or invent stats. Distinct from image-prompt, ideogram/nano-banana/Midjourney (sibling tools), ai-image-editing (the edit router this feeds), and canva.
Use to build a genuine community — turning an audience into people who interact with each other, not just with the brand. Run when the user asks how to build community, foster belonging/loyalty, create superfans, start a group/Discord channel, get members talking to each other, or move beyond chasing followers/virality. Reads brand-profile/social-strategy/audience-research. Community outperforms virality, measured by relationship depth/retention, not follower count. Covers the audience-to-community distinction (member-to-member interaction), choosing the space (in-feed -> semi-owned -> owned groups/Discord), recurring rituals, building belonging, and nurturing superfans into advocates. KPIs read natively, never fabricated. Advisory: WoopSocial schedules the content but does NOT run Discord/Slack or show analytics — the human runs the community, the agent drafts. Never fake community; get consent before spotlighting. Pairs with reply-and-comment-writer and crisis-and-moderation.
The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized series, faceless educational content) with the consent-first architecture and honest fit boundaries. Use when someone wants to make videos with Synthesia/AI avatars, create a personal avatar/digital twin, localize one video into many languages, build training/L&D video at scale, or asks whether an avatar should replace them on camera. Uses the HUMAN framework. Reads the content skill + brand-profile + voice-builder first. The agent scripts and plans (API where connected); the HUMAN approves every video; WoopSocial publishes. Spines: the fit test (avatars win at scale/localization/training, lose to a real face for trust-led content); consent-first likeness; the script is most of avatar quality — lock copy before generating. Never impersonate, fake endorsements, or skip AI-disclosure. Distinct from heygen, talking-head-and-piece-to-camera, ai-video/luma, ai-voiceover, and descript.
The TikTok VIDEO publish-config skill. Use when someone wants to "publish/schedule a TikTok video," "configure a TikTok upload," set the caption/cover/privacy/duet-stitch/disclosure, or post a TikTok video via WoopSocial (postType VIDEO). Configures the publish for reach, discovery, and compliant disclosure AND writes the search-optimized caption: the caption is search (lead-load the primary keyword), duet/ stitch ON is free distribution, the cover frame wins the profile grid + search, and the disclosure flags (isBrandedContent/isYourBrand) are set truthfully. Uses the REACH framework. Reads brand-profile + goals-and-kpis + the script/video first. The VIDEO FILE is filmed by a human or made by the video skills (not WoopSocial); WoopSocial publishes via raw-bytes upload and auto-discloses AI on TikTok; trending sound / pinned comment / replies are native or human; no update endpoint (edit = delete+recreate); metrics never fabricated. Distinct from tiktok-script (the VIDEO SCRIPT) and tiktok-photo-mode (PHOTO).
Use as the foundation and router for any image a post needs — turn a social need into a clear image brief, describe it with model-agnostic prompt craft, and route to the right tool. Run when the user says "I need a visual/image for this post," "what image should I use," "make a graphic," "help me prompt an image," or is unsure which image tool/model to use. Reads brand-profile for the visual brand. Teaches the image brief, the universal anatomy of a strong prompt in natural language, and a tool router (typographic -> ideogram/nano-banana; photoreal -> nano-banana/flux; surreal -> Midjourney; editing -> nano-banana/flux; vector -> Recraft; video -> veo-3). Includes a "should this even be AI-generated?" gate (a real photo, screenshot, or chart often beats generic AI), accessibility, and honest scope (disclose AI, never real identifiable people or copyrighted IP, verify text/data). Hands off to the tool-specific mini-skills; WoopSocial publishes via Media and doesn't generate images.
The AI image-editing router — inpainting/object removal, background removal, upscaling, outpainting, old-photo restoration, and retouch, routed task-first to the right engine. Use when someone wants to remove an object/person from a photo, cut out backgrounds, upscale an image, extend an image to new aspect ratios, restore an old photo, fix a generated image, or asks which editing tool to use. Uses the TOUCH framework. Reads brand-profile + design-and-templates first. The agent names the task, routes to the right engine, writes the spec, and can call APIs where connected; the HUMAN judges every result at 100%; WoopSocial publishes. Honesty spine: an edited real photo is an edited claim — creative upscalers hallucinate detail (never on products/documents), no defect concealment, body-retouch disclosure honored, no watermark/provenance stripping. Distinct from image-prompt/flux/nano-banana (generation), canva (the design workflow), and before-after-and-transformation (the claim rules).
The on-camera delivery craft — helping a real human film themselves talking to a lens and look like themselves doing it. Use when someone wants a "talking head video" or "piece to camera," says "film myself" or "I look stiff on camera," asks about a teleprompter, framing, lighting, audio, or retakes, or wants to batch-film videos. Uses the TAKES framework. Phone-first: gear is almost never the bottleneck. Reads brand-profile + voice-builder first; takes its script from short-form-video-script (that writes it, this delivers it). The agent coaches setup + delivery, formats prompter/beat-map scripts, and plans batch days; the HUMAN films and picks the take (the agent cannot see footage); WoopSocial publishes the finished file. Camera-shy? Route honestly to heygen/synthesia or faceless formats. Never fabricates "that take looks great." Distinct from scripting-and-storyboarding (the shoot plan), heygen/synthesia (avatars), and captions-and-clipping/capcut/descript (the edit).
The LinkedIn company-page (LINKEDIN_PAGES) growth strategy skill -- a separate platform from personal LINKEDIN. Use when someone wants to grow a company/business page, fix low page reach ("our LinkedIn page gets no engagement"), set up employee advocacy, or plan company-page content. In 2026 pages get a tiny share of feed reach, so the page is a credibility hub + paid launchpad (Ads + Thought Leader Ads), NOT the reach engine -- the growth lever is employee advocacy (people, not logos). Uses the HUMAN framework. Reads brand-profile + goals-and-kpis first. The agent strategizes, designs the advocacy program, and drafts page posts + advocacy content; WoopSocial publishes the page's own posts on a schedule; employees post from their OWN profiles (routes to linkedin-growth); first-hour engagement, Ads, and analytics stay human/native. No bait, pods, or bought followers; never fabricates metrics. Distinct from linkedin-growth (personal profile) and linkedin-post-writer (the post craft).