How do I each day, find high-signal recent threads in relevant AI/startup/builder subreddits, rank the best opportunities, read enough context, then draft genuinely helpful non-promotional comments in the user's voice and hold them for review — never post automatically

the agent that answers this

daily reddit karma builder. Each day, find high-signal recent threads in relevant AI/startup/builder subreddits, rank the best opportunities, read enough context, then draft genuinely helpful non-promotional comments in the user's voice and hold them for review — never post automatically.

• Step 1tool

  Preflight (NO paid API key required): confirm Reddit access before doing any work. This agent uses only free Reddit public feeds — do NOT require an OpenAI API key or any paid service just because a subreddit is named r/OpenAI. Verify the access ladder in order: (1) Reddit public JSON feeds (r/<sub>/new.json, /hot.json, /top.json?t=day) with a descriptive User-Agent; (2) old.reddit.com; (3) only if feeds are rate-limited (HTTP 429) or blocked, a logged-in browser / computer-use Reddit session. Confirm the configured subreddits and the user's Reddit username are set. If none of the access paths work, STOP and tell the user which path failed and what to enable — never fail partway assuming a missing key.

  Search and retrieve content from Reddit. Get posts, comments, subreddit info, and user profiles via the public JSON API. Use when user mentions Reddit, a…

  Reddit Skill Get posts, comments, subreddit info, and user profiles from Reddit via the public JSON API. Prerequisites No API key required! Reddit's public JSON API works without authentication. Quick Check: cd <skill_directory> python3…

  Full skill: reddit

  • No integration? Reddit public JSON feeds with a descriptive User-Agent
  • No integration? old.reddit.com
  • No integration? logged-in browser / computer-use Reddit session if feeds are blocked
• Step 2tool

  Pull the day's recent high-signal threads from each configured AI/startup/builder subreddit using Reddit public JSON feeds (r/<sub>/new.json, /hot.json, /top.json?t=day) or old.reddit; fall back to a logged-in browser / computer-use session ONLY if Reddit rate-limits or blocks the feeds, or if logged-in page context is needed. Never assume an OpenAI API key is required just because a subreddit is named r/OpenAI — these are public Reddit feeds.

  Your model fills this step

  • No integration? Use old.reddit.com or the r/<sub>/new.json and /top.json?t=day JSON endpoints with a descriptive User-Agent
  • No integration? If feeds are rate-limited (HTTP 429) or blocked, drive a logged-in Reddit session via browser/computer-use to read the same listings
• Step 3

  Rank the candidate threads by opportunity signal — recency (favor threads from the last ~24-48h that are still active), comment velocity, upvotes, topical relevance to AI/startup/builder, and whether the user can add genuine value — and select the top 5-8 to pursue.

  Your model fills this step
• Step 4

  For each selected thread, read enough context — the OP post body, the top comments with their scores, and each author's reputation signal (comment karma / account age where visible) — and compile a thread summary that identifies the best reply target and the novel angle the user could add.

  Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns. Use this when users want to understand Reddit community…

  Reddit Thread Analyzer Extract deep insights from Reddit discussions including sentiment, key arguments, and community consensus. When a user provides a Reddit thread URL or asks about Reddit opinions, analyze the discussion…

  Full skill: reddit-thread-analyzer
• Step 5decision

  Deduplicate and filter: drop any thread where the user's configured Reddit account has already commented, and any thread that is locked, archived, or removed. Only surviving threads proceed to drafting.

  Decision step
• Step 6

  Draft genuinely helpful, non-promotional comments in the user's voice for each surviving thread — 3 candidate drafts each (A: direct helpful reply to the recommended target; B: broader top-level insight; C: contrarian / alternative take) — matched to that subreddit's norms and the length/tone of the existing top comments, with no product marketing, no vendor pitch, and no AI tells (no em-dashes, no corporate jargon).

  Your model fills this step
• Step 7decision

  Quality gate: adversarially critique the drafts from three lenses (a subreddit regular, a hard skeptic, and the user). Check each draft actually adds value, fits the subreddit's norms, is non-promotional, sounds like the user, and carries no AI tells. Fix clear problems in place; flag anything that should block before it reaches the user.

  Decision step
• Step 8

  Voice Pass — final rewrite of EVERY surviving comment draft so it reads as the user's own natural Reddit voice, not generic AI. Ground the voice in the user's real Reddit history / configured voice sample (their cadence, sentence length, casing, slang, punctuation habits, how they open and sign off, how blunt or hedged they are); if no sample is available, default to a plain, conversational human Redditor register for that subreddit. Rewrite for that voice while PRESERVING every fact, specific, number, and LINK exactly as written — do not add, drop, soften, or invent any claim or URL. Keep drafts non-promotional and strip any remaining AI tells (no em-dashes, no 'Certainly'/'delve'/'moreover', no corporate polish, no over-hedging). Output the voice-matched drafts in place of the pre-pass versions, keeping the same A/B/C structure per thread.

  Mimic my writing -- force AI to write like you do. Extract a quantitative voice fingerprint from sample text (sentence burstiness, vocabulary anchors, signat...

  --- name: mimic-my-writing description: Mimic my writing -- force AI to write like you do. Extract a quantitative voice fingerprint from sample text (sentence burstiness, vocabulary anchors, signature phrases, punctuation rate, quirks) and…

  Full skill: Mimic My Writing
• Step 9decision

  Approval gate: surface every thread summary alongside its 3 voice-matched drafts for the user to review, edit, or approve. Hold all drafts for review and do NOT post anything automatically — the user posts approved comments themselves.

  Decision step

common questions

1. v3Jul 21manual

   added 1 step; rebound step 8 (decision -> clawhub/mimic-my-writing)

2. v2Jul 21manual

   rebound step 1 (gap -> skills.sh/reddit)

3. v1Jul 21generated

   auto-generated from "Each day, find high-signal recent threads in relevant AI/startup/builder subredd"

Agents are alive: every change is a version, and a run can propose improvements that get reviewed and applied.

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