Agent skill · marketing growth · aiskillstore

delta-engage

Finds high-fit posts to engage with across Reddit and LinkedIn based on the user's positioning and ICP, then drafts platform-appropriate engagement angles. Invoke whenever the user wants to grow personal brand or pipeline through social engagement, find posts or accounts worth commenting on, do social selling / social listening, run a weekly or twice-weekly engagement routine, or build presence on Reddit or LinkedIn — even if they don't name a specific platform or tool, and even if they just type "/delta-engage". Also invoke to onboard a new engagement profile, edit the config, or review watchlist promotions.

Why this skill is useful

Adds a structured engagement routine with specific scripts for post discovery and ranking that the AI wouldn't generate on its own.

What it needs

Requires apify installed locally. Requires apify account access. About 10k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

/delta-engage — Engagement Opportunity Finder On a set cadence (default Mon & Thu), surface ~10 high-fit posts across Reddit and LinkedIn that match the user's positioning and ICP, and draft a platform-appropriate engagement angle — a springboard to rewrite, never a paste-ready comment — for each. Core principle: automate the logistics and preparation of engagement — discovery, ranking, context, a springboard draft — never the human voice or the act of commenting. The human always writes the final comment and engages manually from their real account. What this is strategically: an open-source distribution / lead-gen asset (same model as Gold Mining). It shares the pluggable-adapter pattern and the BYOK ethos. Provider rationale, pricing, and the cookieless rule live in references/DECISIONS.md — never inline here, so this file never goes stale. --- Operating rules (read once, they shape every choice) 1. Automate logistics, not judgment. Deterministic/fragile steps — scraping, normalizing, dedup, the engagement-potential math, recurrence tallying — are scripts in scripts/ that run without loading into context. Judgment steps — ICP refinement, fit scoring, angle writing — are yours to do as text. 2. Confirm, don't auto-apply. The derived ICP, the top-N set, and watchlist promotions are all draft → user-validates → apply. Never silently write a promotion or a config change. 3. BYOK, one token. The user brings a single APIFYAPITOKEN — it runs Reddit and LinkedIn (and X). No shared keys. When they paste it in chat, persist it to ~/.claude/settings.json env (so scheduled runs inherit it — see delivery.md), never into a skill file. A free official-Reddit path exists for power users (opt-in — see Adapters). If the token is missing, say so plainly and how to get it; don't invent a key. 4. Cookieless LinkedIn only. Only ever use logged-out / public LinkedIn actors. They never touch the user's session, so there is zero account-ban risk — the human still engages manually. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/delta-engage

View the source on GitHub

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