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signal-mine

Triage a raw dump of external material — news, social threads, community discussions, competitor moves, sales-call notes — into content angles the brand has authority to make, each mapped to a pillar with a format and timeliness window, plus an explicit dropped-signals list recording why the rest we…

Install / Use

npx skills add indranilbanerjee/digital-marketing-pro --skill signal-mine

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Category

Marketing

Supported Platforms

Universal

Our assessment of signal-mine

signal-mine scores 84/100 on our quality scale, 412th of 610 Marketing skills we index.

Its SKILL.md is 4.0 KB long, well organised into 10 sections with 1 code example: a solid amount of guidance for an agent.

It has 832 GitHub stars, a meaningful sign that others use it.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
12/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 26 days ago, so signal-mine is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

signal-mine compared with similar skills

All 4 of these similar skills score higher than signal-mine; compare them before choosing.

SkillScoreStarsUpdatedFormat
signal-mine (this skill)by indranilbanerjee8483226d agoSKILL.md
Agent-Reachby Panniantong10090.1k18d agoCLAUDE.md
algorithmic-artby anthropics100177.9k11d agoSKILL.md
pptxby anthropics100177.9k11d agoSKILL.md
designby nextlevelbuilder100130.2k12d agoSKILL.md

Frequently asked questions

How do I install signal-mine?
Run npx skills add indranilbanerjee/digital-marketing-pro --skill signal-mine. The install tabs above show the steps for each supported agent.
Which AI agents does signal-mine work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is signal-mine safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is signal-mine still maintained?
The repository was last updated 26 days ago, so signal-mine is actively maintained.

name: signal-mine description: "Triage a raw dump of external material — news, social threads, community discussions, competitor moves, sales-call notes — into content angles the brand has authority to make, each mapped to a pillar with a format and timeliness window, plus an explicit dropped-signals list recording why the rest were rejected. Triggers on "/digital-marketing-pro:signal-mine", "mine this", "what content is in here", "turn this industry news into ideas", "any angles for us in this thread". Requires the brand profile (pillars, audience, competitors) and stops without one; unverified claims route to /digital-marketing-pro:verify-claims before anything cites them; surviving angles feed /digital-marketing-pro:content-engine." argument-hint: "[brand-name] [--signals <pasted material>]" user-invocable: true

/digital-marketing-pro:signal-mine

The intelligence layer between "interesting" and "ours to say". Raw input comes from anywhere — a newsletter, a Reddit thread, three competitor posts, notes from yesterday's sales calls. The output is only the angles this brand has standing to make, each mapped to a pillar, with everything else explicitly dropped.

The mapping is the value. Any model can turn news into generic content ideas; the discipline is refusing the ideas that do not serve this brand's authority.

Inputs

  • The dump — pasted material, in any shape. More is fine; this skill's job is triage.
  • The brand profile — pillars, audience, positioning, competitors from ~/.claude-marketing/brands/{slug}/. No profile → stop: signal-mining without pillars produces trend-chasing, which is the exact failure mode this skill exists to prevent. Run /digital-marketing-pro:brand-setup first.

Process

  1. Split the dump into discrete signals (a claim, an event, a sentiment, a number, a competitor move).
  2. For each signal, ask the standing question: does this brand have something to say here that its audience would rather hear from it than from anyone else? Pillar fit is necessary but not sufficient — authority fit decides.
  3. For signals that pass: name the angle (the brand's specific take, not a summary of the signal), the pillar, a format, and a timeliness window.
  4. For signals that fail: list them as dropped, with the reason. This list is half the deliverable — it is the record of discipline, and the user may overrule it with context you lack.

Output structure

# Signal mine — {brand}, {date}

## Angles ({n})
### A1. [The angle — the take, not the topic]
**From signal:** [one-line source reference]
**Pillar:** [brand pillar]  **Timeliness:** [act this week / evergreen / expires ~date]
**Format:** [post / article / newsletter section / campaign hook]
**Why this brand:** [one sentence of standing — why this take is credibly ours]

## Dropped ({n})
- [signal] — [why: off-pillar / no standing / competitor's story to tell /
  stale by the time we publish / compliance risk]

## Sourcing note
[Which signals carry claims that need verification before anything cites them —
route those through /digital-marketing-pro:verify-claims before drafting]

Critical rules

  • An angle is a take, not a topic. "AI regulation is changing" is a topic. "The new rules reward exactly the disclosure work our clients already do" is an angle. Return angles.
  • Authority beats relevance. A signal can be perfectly on-pillar and still be dropped because the brand has nothing distinctive to add. Say that plainly.
  • Timeliness is honest. A "react this week" label on something that takes three weeks to produce is a plan to be late. Match the window to the brand's real production speed.
  • Claims from pasted material are unverified by definition. Nothing cites a pasted number until it has been through verification — pasted text carries no provenance, and provenance is the house rule.
  • The dropped list always ships. An output with ten angles and no rejections means the triage did not happen.

Related Skills

View on GitHub
GitHub Stars832
CategoryMarketing
Updated26d ago
Forks136

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions