phy041/claude-skill-reddit

reddit-creator-deploy

Turn a KOL roster + subreddit brand-fit analysis into a deployable creator network.

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How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/phy041/claude-skill-reddit --skill reddit-creator-deploy

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

reddit-creator-deploy

用途 / Purpose

The packaging step between "who could post" (reddit-kol-finder) and "who posts what, where" (reddit-content-brief). Takes real creators + real subreddit brand-fit and produces the deployment plan: KOL/KOC two-layer split, an account×subreddit matrix, and per-creator persona cards — all under Route A disclosed-creator compliance (no sockpuppets, disclosure mandatory, ≤3 of our creators per sub, no cross-creator interaction). Generalised from the AcmeGear campaign (创作者花名册 + 部署矩阵).

输入 / Inputs

argrequired?typewhere it comes fromerror if missing
--rosteryesfilekol_roster.json from reddit-kol-finder (uses reddit_native[]), or a plain [{handle,subreddits,tier,gear,shooting_types,geo,profession}] listERROR: --roster file not found (exit 2); 0 creators → exit 3
--subsyesfilesubreddit brand-fit map {"<sub>":{"fit_score":N,"tolerance":".."}} or sweep jsonl ({"sub":..,"verdict":{"fit_score":..}})ERROR: --subs file not found (exit 2)
--brandyesstringbrand name (used in disclosure lines)ERROR: the following arguments are required: --brand
--productsnocomma listproduct lines (for context)—
--out-dirnodiroutput dir (default out)—

输出 / Outputs

  • `deployment_matrix.json` — {brand, n_creators, n_kol, n_koc, max_per_sub, saturated_subs, rows[]}; each row {handle, layer(KOL/KOC), geo, main_sub, secondary_subs[], cadence, disclosure}.
  • `deployment_matrix.md` — the human table + 合规底线 block; flags any subreddit over the ≤3-creator ceiling.
  • `persona_cards.md` — one card per creator (真实身份 / 主副场 / 社区匹配逻辑 / 披露式品牌关系 / 节奏), labelled 招募画像 (real people fill in later).

逻辑 / How it decides

  • Layer: roster tier A → KOL; B/C → KOC; else infer from signals.upvotes_total (≥200 → KOL).
  • Main/secondary subs: rank the creator's own subreddits by real fit_score from --subs; top = main, next 1-2 = secondary. A creator only ever lands in communities they actually belong to.
  • Cadence: KOL = 1 post/2-3wk + weekly comments; KOC = comment-led + 1 post/3wk.
  • Compliance (baked, not optional): every card carries the FTC disclosure requirement; matrix enforces ≤3 of our creators per sub (flags saturation), no cross-creator interaction, no same-content multi-sub. Route A only — no fabricated personas.

Usage

$ python3 scripts/generate.py --roster kol_roster.json --subs subs_fit.json \
    --brand "AcmeGear" --products "兔笼,快装板,监视器支架" --out-dir out
{"n_creators": 5, "n_kol": 2, "n_koc": 3, "saturated_subs": {}, "out_dir": "out"}

Test: python3 scripts/test.py (real fixture in fixtures/, asserts layer split + fit-ranked mains + disclosure on every row).

Pipeline position

Runs after reddit-kol-finder (consumes its kol_roster.json) and before reddit-content-brief (which writes what each deployed creator posts). Front-end recon comes from subreddit-deep-research (community universe + high-upvote logic + rules) → its --subs fit output feeds this skill.

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