agentleFS
guerrilla2799guerrilla2799/ops-and-scale-os/skills/signal-pipeline/SKILL.md

signal-pipeline

Skill1 starsChanged 3 months agoMITView on GitHub

Use when the user says "buying signals", "intent data", "trigger events", "job change alerts", "we get signals and nothing happens", "is this intent data worth it", "signal monitoring", "hiring triggers". Builds a signal taxonomy with decay windows, dedup, severity thresholds, and an explicit signal-to-play routing table. Includes the backfill discrimination test for vendor renewal. Writes workspace/data/signal-taxonomy.csv.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Not every signal deserves an action.

    line 63
  2. Distinctive:

    If flagged accounts converted at roughly the same rate as unflagged ones, the source has no discriminating power and you are paying for …

    line 94
  3. Distinctive:

    Every signal has a decay window: No exceptions

    line 106

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Signal Pipeline

Turn events into timed actions. A signal without a decay window and a routing destination is a notification, and notifications get ignored.

When to use

  • Setting up trigger-based outreach
  • Signals fire and nothing happens, or everything happens
  • Evaluating or renewing an intent data contract
  • Reps say the alerts are noise

Inputs

  • Reads: workspace/data/object-model.md, workspace/data/scoring-model.md
  • Needs from user: current signal sources and cost, what happens today when a signal fires, and last year's closed-won and closed-lost lists for the backfill test

Workflow

1. Build the taxonomy with four properties per signal

A signal is not usable until all four are filled in. Use templates/signal-taxonomy.csv.

PropertyWhy
Decay windowHow long it stays actionable. A signal with no window is permanent, which means meaningless
SeverityHow strongly it predicts a conversation. Drives the threshold
PlayExactly what happens. Not "notify the rep"
OwnerWho acts, by name or by role

Reference windows, adjust to your motion:

SignalDecay windowSeverity
Champion changed jobs to a target account30 to 60 daysHigh
New executive hired in the buying function90 daysHigh
Funding round announced90 daysMedium
Hiring for roles that imply your problem60 daysMedium
Competitor mentioned in a public posting45 daysMedium
Pricing page or high-intent content visit7 to 14 daysHigh
Technology added or removed from their stack90 daysMedium
Leadership change outside the buying function60 daysLow
Generic third-party intent surge14 to 30 daysLow until tested

A job-change signal actioned at day 45 is a cold call with extra steps. The window is the value.

2. Dedup before routing

The same underlying event arrives from three sources with three timestamps. Without dedup, one event becomes three alerts and the rep learns to ignore all of them.

Dedup key:  account + signal type + rolling window
Rule:       first occurrence wins, later duplicates suppressed and counted

Count the suppressions. A high suppression rate against one source means you are paying twice for the same event.

3. Set the severity threshold

Not every signal deserves an action. If everything fires, nothing does.

High severity     → immediate play, same day
Medium            → enters the weekly queue
Low               → increments the intent score only, no alert
Below threshold   → logged, not surfaced

The tell that the threshold is too low: signal-to-action rate under 30%. Reps are triaging on your behalf, badly, and silently.

4. Write the routing table

The step that makes the difference between a signal system and a notification system.

Signal type + severity + account tier → specific play, specific owner, specific timeframe

"Notify the rep in Slack" is not a play. "Send the champion-move sequence, three touches over five days, owner is the account owner" is a play.

5. Run the backfill discrimination test before any renewal

For every paid signal source, sixty days before renewal.

Take last year's closed-won accounts     → was the signal flagged?
Take last year's closed-lost accounts    → was the signal flagged?
Compare the flag rates

If flagged accounts converted at roughly the same rate as unflagged ones, the source has no discriminating power and you are paying for noise. This test has killed real contracts. Run it while there is still time to act, not the week of renewal.

6. Instrument the pipeline

Four numbers weekly: volume, signal-to-action rate, precision (actioned signals that became a real conversation), and decay compliance. A sudden volume change means a source broke or a filter changed, and that is worth knowing the same week rather than the next quarter.

Output

  • Writes: workspace/data/signal-taxonomy.csv, workspace/data/signal-routing.md
  • Uses: templates/signal-taxonomy.csv
  • Prints: the taxonomy with all four properties filled, dedup and suppression counts, the threshold, the routing table, and any backfill test results

Rules & quality bar

  • Every signal has a decay window. No exceptions
  • Every signal has a named play and a named owner. "Notify" is not a play
  • Dedup across sources before routing
  • A severity threshold exists, and low-severity signals only move the score
  • Backfill test before every renewal, sixty days out
  • Never buy a broad intent feed without testing it against your own history first

Related skills

  • Feeds: the intent axis in icp-scoring-engine
  • Hands off to: lifecycle-and-routing
  • See also: docs/stack.md on signal sources, docs/metrics.md on signal health

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