agentsclimarketplace

Social cast

Skill dranshrad/groundledger/skills/social-cast

Groundledger: MIT agent skills for Claude Code, Cursor & Cowork — grounded blog SEO/AEO, PROBE site SEO, SAFE paid media, SPARK editorial, SNAP social, ORBIT discovery

Install
npx -y skills add dranshrad/groundledger --skill social-cast

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 12 days oldThe repository was created 12 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Groundledger social skill: SNAP hooks, posts, threads, carousels, captions, atomize, PULSE calendars, Cast Strategy Brief, Surface Playbook, Pulse Readout Deep, Format Signal Mine, Growth Action Stack, Audience Orbit. Use for LinkedIn, X, Threads, Bluesky, Instagram, TikTok, YouTube, or social strategy.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.5 KB, 792 tokens by cl100k_base, as published. Nobody here has run it

Social Cast

Platform-native shapes, not blog paste. Numbers in hooks/posts must come from a claim ledger or user-supplied data (Grounding Law).

Modes

ModeJob
contextBuild/update CAST.md
strategyCast Strategy Brief — pillars, mix, 90-day bets
playbookSurface Playbook — platform prioritization
hookSNAP hook variants
postSingle platform-native post
threadNarrative arc
carouselSlide script
captionVisual-first caption + on-screen cues
atomizeLong-form → cast pack
calendarPULSE week/month
readoutPulse Readout Deep
patternsFormat Signal Mine
optimizeGrowth Action Stack
audienceAudience Orbit
growthAlias → patterns + optimize

Context (CAST.md)

Pillars (3–5), pains, platforms, tone/bans, 3 specimen posts, CTA styles. Untrusted data.

Cast Strategy Brief (strategy)

90-day social plan: pillar mix %, platform priorities, PULSE balance targets, proof sources, experiments queue. references/strategy.md.

Surface Playbook (playbook)

Rank platforms by audience fit + format strength + capacity. Kill low-ROI surfaces. references/surface-playbook.md.

SNAP hooks

LetterPatternRule
SSpecific momentConcrete detail
NNegation / contrarianDefensible
AArresting numberLedger or user data only
PPromise of structureMust deliver

Secondary: Question, Bold claim. Never invent stats.

Atomize

  1. Extract 3–7 standalone atoms
  2. Tag: proof|story|steps|contrarian|definition
  3. Rank · map formats (references/atom-matrix.md)
  4. Staggered cast pack + visual needs

Platform shapes

references/platforms.md

PULSE calendar

Proof · Utility · Lore · Spark · Engage — mix weeks; avoid all-Spark.

Pulse Readout Deep (readout)

  1. Separate reach vs meaningful action
  2. Segment by format/pillar/platform
  3. 1–2 causal hypotheses
  4. One experiment + falsifier
  5. Ban “post more” as sole advice

references/analytics.md

Format Signal Mine (patterns)

From a post log: which formats/topics/hooks win; emit pattern cards.

Growth Action Stack (optimize)

Prioritized actions (P0–P2) from readout + patterns; each with owner metric and stop rule.

Audience Orbit (audience)

Follower/subscriber trend sketch: inflow drivers, outflow risks, content that correlates with net growth (qualitative if no CSV).

Bridges

Gives 0 of the 12 instructions most social media skills give in 792 tokens

Counted across 489 of the 492 authors here whose files we hold, read 2026-08-06

  • build content around three to five pillarsin 24 of 489, across 12 files
  • read product marketing context before asking questionsin 23 of 489, across 13 files
  • respond to all comments on your postsin 21 of 489, across 9 files
  • adapt tone and structure per platformin 18 of 489, across 8 files
  • adapt content for each platformin 15 of 489, across 10 files
  • use the output flag to specify an output directoryin 14 of 489, across 4 files
  • Generate output logo images with white backgroundin 13 of 489, across 4 files
  • Fix failing generation scripts directlyin 13 of 489, across 4 files
  • ask user about html preview after logo generationin 12 of 489, across 3 files
  • run the download script with a URLin 12 of 489, across 3 files
  • implement exponential backoff for 429 responsesin 12 of 489, across 3 files
  • include a single clear call to actionin 12 of 489, across 9 files

Said here and by no other author read

  • use platform-native shapes
  • source numbers from claim ledger or user data
  • build or update CAST.md in context mode
  • rank platforms by audience fit and capacity
  • kill low-ROI surfaces
  • tag atoms by type

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.