/digital-marketing-pro:signal-mine skill

Mine raw signals (news, threads, sales notes) into content angles.

by indranilbanerjee·MIT license·★ 866 Stars on the repo·GitHub ↗

Use now

Inside this skill

SKILL.md · the author's own words
# /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

Word-for-word excerpt, not a result. Read the full SKILL.md ↓

Files of /digital-marketing-pro:signal-mine

indranilbanerjee/main1 file shown
SKILL.md
Show the full text78 lines

/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.
1---
2name: signal-mine
3description: "Mine raw signals (news, threads, sales notes) into content angles. \"turn this industry news into ideas\""
4argument-hint: "[brand-name] [--signals <pasted material>]"
5user-invocable: true
6---
7 
8# /digital-marketing-pro:signal-mine
9 
10The intelligence layer between "interesting" and "ours to say". Raw input comes
11from anywhere — a newsletter, a Reddit thread, three competitor posts, notes
12from yesterday's sales calls. The output is only the angles this brand has
13standing to make, each mapped to a pillar, with everything else explicitly
14dropped.
15 
16The mapping is the value. Any model can turn news into generic content ideas;
17the discipline is refusing the ideas that do not serve this brand's authority.
18 
19## Inputs
20 
21- **The dump** — pasted material, in any shape. More is fine; this skill's job
22 is triage.
23- **The brand profile** — pillars, audience, positioning, competitors from
24 `~/.claude-marketing/brands/{slug}/`. **No profile → stop**: signal-mining
25 without pillars produces trend-chasing, which is the exact failure mode this
26 skill exists to prevent. Run /digital-marketing-pro:brand-setup first.
27 
28## Process
29 
301. Split the dump into discrete signals (a claim, an event, a sentiment, a
31 number, a competitor move).
322. For each signal, ask the standing question: *does this brand have something
33 to say here that its audience would rather hear from it than from anyone
34 else?* Pillar fit is necessary but not sufficient — authority fit decides.
353. For signals that pass: name the angle (the brand's specific take, not a
36 summary of the signal), the pillar, a format, and a timeliness window.
374. For signals that fail: list them as dropped, with the reason. This list is
38 half the deliverable — it is the record of discipline, and the user may
39 overrule it with context you lack.
40 
41## Output structure
42 
43```
44# Signal mine — {brand}, {date}
45 
46## Angles ({n})
47### A1. [The angle — the take, not the topic]
48**From signal:** [one-line source reference]
49**Pillar:** [brand pillar] **Timeliness:** [act this week / evergreen / expires ~date]
50**Format:** [post / article / newsletter section / campaign hook]
51**Why this brand:** [one sentence of standing — why this take is credibly ours]
52 
53## Dropped ({n})
54- [signal] — [why: off-pillar / no standing / competitor's story to tell /
55 stale by the time we publish / compliance risk]
56 
57## Sourcing note
58[Which signals carry claims that need verification before anything cites them —
59route those through /digital-marketing-pro:verify-claims before drafting]
60```
61 
62## Critical rules
63 
64- **An angle is a take, not a topic.** "AI regulation is changing" is a topic.
65 "The new rules reward exactly the disclosure work our clients already do" is
66 an angle. Return angles.
67- **Authority beats relevance.** A signal can be perfectly on-pillar and still
68 be dropped because the brand has nothing distinctive to add. Say that
69 plainly.
70- **Timeliness is honest.** A "react this week" label on something that takes
71 three weeks to produce is a plan to be late. Match the window to the brand's
72 real production speed.
73- **Claims from pasted material are unverified by definition.** Nothing cites
74 a pasted number until it has been through verification — pasted text carries
75 no provenance, and provenance is the house rule.
76- **The dropped list always ships.** An output with ten angles and no
77 rejections means the triage did not happen.
78 

Discussion