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derekcedarbaum2derekcedarbaum2/content-machine/skills/oracle/SKILL.md

oracle

Skill2 starsChanged 53 days agoMITView on GitHub

Daily idea engine. Scans the last 7 days of your connected systems and your internet-reader sources, scores candidate "content spikes" against the shared rubric, appends everything to your Spike Vault, and returns a ranked list of 10-15. Trigger phrases include "run the oracle", "find content spikes", "/oracle".

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The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 54 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read first: reference/spike-scoring.md (the scoring contract) and the personal folder's sources.md (what you may scan).

    line 10
  2. Distinctive:

    Use whatever connected tools the environment provides (MCP servers, web fetch/search).

    line 26

“Common” is measured: kept by at least 6 in 10 of the 54 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Oracle — mine the week for content spikes

Read first: reference/spike-scoring.md (the scoring contract) and the personal folder's sources.md (what you may scan). Personal folder resolution: ~/.content-machine/redirect.md first line if present, else ~/.content-machine/.

Hard rules

  1. Scan only sources listed in sources.md. Systems it marks off-limits are off-limits even if credentials are available. If sources.md names a screening rule for a source (e.g., an employer-confidentiality boundary), apply it to every spike from that source before listing it.
  2. Window: last 7 days. Older material only if sources.md says otherwise.
  3. Score every candidate with the rubric. ≥ 6 makes the list; everything scored goes to the Spike Vault (spike-vault.md in the personal folder) with date, score, source, and one-line statement — used or not. Ideas are inventory.
  4. Target 10–15 list entries, roughly half internal / half internet reader. Fewer is fine; padding with sub-6 spikes is not.
  5. Also surface repurpose candidates: scan the personal drafts/ folder for published pieces whose spike is alive again (a debate reignited, a number updated). Mark these REPURPOSE.

Scan procedure

Internal (per sources.md): notes/vault folders, meeting notes, journals, email, chat workspaces, task/issue trackers, calendar. You're hunting moments: a story told in a thread, a strong claim made on a call, a number that surprised someone, a customer sentence worth quoting.

Internet reader (per sources.md): the listed accounts and sites, last 7 days. You're hunting live debates and posts worth responding to. Every internet spike names its response mode: quote-post, reply, or standalone.

Use whatever connected tools the environment provides (MCP servers, web fetch/search). If a listed source has no available tool, say so in the output — don't silently skip it.

Output

The ranked list in the exact format from reference/spike-scoring.md, internal and internet sections labeled, repurpose candidates at the end. Then one closing line: which spike you'd pick and why — one sentence, no hedging.

❌ Bad output entry: "You had some interesting discussions about AI this week that could make good content." ✅ Good output entry: [9] SLACK #client-calls — Banker rebuilt McKinsey's 6-month proposal in one week with Claude Code; consulting is repricing in real time. why it scores: lived story + numbers + live debate.

After the run

Confirm the Spike Vault append happened (count entries before/after). The user picks a spike and continues with /interview.

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