viral-captions-and-ctas

Name: viral-captions-and-ctas
Author: vyralcontent

11installs10forks

How to install viral-captions-and-ctas?

vyralcontent/content-skills/viral-captions-and-ctas

$npx -y skills add vyralcontent/content-skills --skill viral-captions-and-ctas

Installs into the current project.

Summary

Write captions, on-screen text, hashtags, and CTAs for short-form video that earn saves and sends without tripping engagement-bait penalties. Use when someone asks for a viral caption, an instagram caption or tiktok caption or video caption, wants to fix a weak cta or call to act

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SKILL.md

1	[![Stop guessing what to post. Steal from the videos that blew up.](https://raw.githubusercontent.com/vyralcontent/content-skills/main/assets/header.png)](https://vyralcontent.com)
2
3	# Viral captions and CTAs
4
5	Help the user write the text around the video: captions, on-screen text,
6	hashtags, CTAs, and the pinned comment. This is the copy layer that decides
7	whether a good video gets distributed, saved, and sent. It does not predict
8	virality. It rules out patterns that suppress reach and pushes toward ones
9	that tend to lift it.
10
11	For hooks and opening lines, see `viral-hooks`. For platform algorithm depth,
12	see `viral-tiktok-content`, `viral-youtube-shorts`, `viral-instagram-reels`.
13	For ideation, see `viral-short-form-ideas`. For full scripting, see the
14	`viral-short-form` umbrella.
15
16	## Operating principles (read these first, apply throughout)
17
18	1. The caption is the SEO now. Instagram indexes captions for in-app
19	search and for Google. TikTok reads captions as a main categorisation
20	input. YouTube Shorts treats the title and first 125 chars of description
21	as direct ranking signals. Hashtags aren't the discovery lever anymore.
22	Words are.
23	2. Most viewers watch on mute. Roughly 85% of social video is consumed
24	silent. If the on-screen text doesn't carry the story, the video doesn't
25	exist for most of the feed. Burn captions in. Don't trust auto-captions.
26	3. Sends and saves beat likes and follows. The CTAs worth writing are
27	tied to the algorithmically heavy actions (send, save, watch-to-end), not
28	the lightweight ones ("like", "follow", "comment below") that pattern-match
29	as engagement bait.
30	4. Engagement bait is a distribution tax. "Comment YES for the link", "tag
31	a friend", "like for part 2", "follow for more" all read as bait under
32	Meta's and TikTok's policies. Each buys a small action and pays a reach
33	penalty.
34	5. One ask per video. Stacking like + save + share + follow + DM dilutes
35	all five. Pick the action that matches the content type and earn it.
36	6. Native, not cross-posted. A caption written for TikTok loses to one
37	rewritten for Reels and another rewritten for Shorts. Different cutoffs,
38	different keyword vocabulary, different hashtag conventions.
39	7. Pattern-matching, not prediction. Captions and CTAs tend to perform a
40	certain way. Nothing here guarantees a result. Honesty is the brand.
41
42	## Workflow
43
44	Adapt to the ask. If the user just wants a caption fast, jump to step 3.
45
46	1. Clarify the brief (only what's missing): platform, video topic and
47	format, audience, goal (search reach vs sends vs saves vs long-form click),
48	any brand voice constraint.
49	2. Pick the primary action. One per video, matched to format. Tutorial or
50	list -> save. Story or recommendation -> send. Opinion -> comment with
51	stance. Cliffhanger -> watch the long-form.
52	3. Write the caption to the platform's cutoff and SEO shape ->
53	`references/caption-craft.md`. First line earns the tap. Primary keyword
54	once, early. Body adds context or payoff; never echoes the on-screen hook.
55	4. Spec the on-screen text. Headline block + body captions, burned in, in
56	the platform's safe zone -> `references/on-screen-text.md`.
57	5. Decide on hashtags. 3 to 5 niche tags on IG and TikTok; 3 to 5 in the
58	YouTube description plus #Shorts -> `references/hashtag-reality.md`. No
59	30-tag walls, no #fyp filler.
60	6. Write the CTA. Place it 5 seconds before the actual drop-off if known,
61	otherwise around the 70% mark. Phrasing from `references/ctas-that-work.md`.
62	Run it through `assets/bait-check.md`.
63	7. Set up the comment section. Pinned comment or first-comment seed.
64	Pre-empt the predictable objection, drop the link that didn't fit, or post
65	the second hook -> `references/pinned-comments.md`.
66
67	## Modes (route by what the user asked)
68
69	- **"Write a caption for

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viral-captions-and-ctas

11installs10forks

View on GitHub

How to install viral-captions-and-ctas?

vyralcontent/content-skills/viral-captions-and-ctas

$npx -y skills add vyralcontent/content-skills --skill viral-captions-and-ctas

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	[![Stop guessing what to post. Steal from the videos that blew up.](https://raw.githubusercontent.com/vyralcontent/content-skills/main/assets/header.png)](https://vyralcontent.com)
2
3	# Viral captions and CTAs
4
5	Help the user write the text around the video: captions, on-screen text,
6	hashtags, CTAs, and the pinned comment. This is the copy layer that decides
7	whether a good video gets distributed, saved, and sent. It does not predict
8	virality. It rules out patterns that suppress reach and pushes toward ones
9	that tend to lift it.
10
11	For hooks and opening lines, see `viral-hooks`. For platform algorithm depth,
12	see `viral-tiktok-content`, `viral-youtube-shorts`, `viral-instagram-reels`.
13	For ideation, see `viral-short-form-ideas`. For full scripting, see the
14	`viral-short-form` umbrella.
15
16	## Operating principles (read these first, apply throughout)
17
18	1. The caption is the SEO now. Instagram indexes captions for in-app
19	search and for Google. TikTok reads captions as a main categorisation
20	input. YouTube Shorts treats the title and first 125 chars of description
21	as direct ranking signals. Hashtags aren't the discovery lever anymore.
22	Words are.
23	2. Most viewers watch on mute. Roughly 85% of social video is consumed
24	silent. If the on-screen text doesn't carry the story, the video doesn't
25	exist for most of the feed. Burn captions in. Don't trust auto-captions.
26	3. Sends and saves beat likes and follows. The CTAs worth writing are
27	tied to the algorithmically heavy actions (send, save, watch-to-end), not
28	the lightweight ones ("like", "follow", "comment below") that pattern-match
29	as engagement bait.
30	4. Engagement bait is a distribution tax. "Comment YES for the link", "tag
31	a friend", "like for part 2", "follow for more" all read as bait under
32	Meta's and TikTok's policies. Each buys a small action and pays a reach
33	penalty.
34	5. One ask per video. Stacking like + save + share + follow + DM dilutes
35	all five. Pick the action that matches the content type and earn it.
36	6. Native, not cross-posted. A caption written for TikTok loses to one
37	rewritten for Reels and another rewritten for Shorts. Different cutoffs,
38	different keyword vocabulary, different hashtag conventions.
39	7. Pattern-matching, not prediction. Captions and CTAs tend to perform a
40	certain way. Nothing here guarantees a result. Honesty is the brand.
41
42	## Workflow
43
44	Adapt to the ask. If the user just wants a caption fast, jump to step 3.
45
46	1. Clarify the brief (only what's missing): platform, video topic and
47	format, audience, goal (search reach vs sends vs saves vs long-form click),
48	any brand voice constraint.
49	2. Pick the primary action. One per video, matched to format. Tutorial or
50	list -> save. Story or recommendation -> send. Opinion -> comment with
51	stance. Cliffhanger -> watch the long-form.
52	3. Write the caption to the platform's cutoff and SEO shape ->
53	`references/caption-craft.md`. First line earns the tap. Primary keyword
54	once, early. Body adds context or payoff; never echoes the on-screen hook.
55	4. Spec the on-screen text. Headline block + body captions, burned in, in
56	the platform's safe zone -> `references/on-screen-text.md`.
57	5. Decide on hashtags. 3 to 5 niche tags on IG and TikTok; 3 to 5 in the
58	YouTube description plus #Shorts -> `references/hashtag-reality.md`. No
59	30-tag walls, no #fyp filler.
60	6. Write the CTA. Place it 5 seconds before the actual drop-off if known,
61	otherwise around the 70% mark. Phrasing from `references/ctas-that-work.md`.
62	Run it through `assets/bait-check.md`.
63	7. Set up the comment section. Pinned comment or first-comment seed.
64	Pre-empt the predictable objection, drop the link that didn't fit, or post
65	the second hook -> `references/pinned-comments.md`.
66
67	## Modes (route by what the user asked)
68
69	- **"Write a caption for

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6 picks

Type