signal-mine
Mine raw signals (news, threads, sales notes) into content angles.
Skill by indranilbanerjee
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/indranilbanerjee-signal-mine
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, sales, productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/signal-mine
What's inside
- Skill name
signal-mine- Description
- Mine raw signals (news, threads, sales notes) into content angles. "turn this industry news into ideas"
- License
- MIT
- Instructions
- 72 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first 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.From indranilbanerjee/digital-marketing-pro, MIT.
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Signals
- Stars
- 909
- Forks
- 146
- Open issues
- 0
- Last commit (this folder)
- Oct 9, 2026 (27 days ago)
- Last release
- Jul 29, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- indranil.in
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from indranilbanerjee
- 0.674score
campaign-status
indranilbanerjee
Show status of every tracked campaign: health, spend, executions, pending approvals.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
client-report
indranilbanerjee
Write a white-labeled report for one client from tracked data.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
analytics-insights
indranilbanerjee
Design the analytics layer with script-backed benchmarks: KPI trees, report templates, MMM, cookieless.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
budget-tracker
indranilbanerjee
Project ad budget pacing by script from live accounts or given numbers: month-end overspend.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
creative-testing-framework
indranilbanerjee
Plan a creative testing roadmap with script-computed sample sizes.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
client-validation-document
indranilbanerjee
Produce the Part 5 client validation document: evidence-cited findings for client decisions.
SkillAFreshness: A★ 909Claude Code +9
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
signal-mine skill. Agent Mart. https://agentmart.dev/skills/indranilbanerjee-signal-mine (last updated 2026-10-24)