bounded-growth-loop
Skill16 starsChanged 5 months agoMITView on GitHub
Design a small recurring product, content, SEO, analytics, or go-to-market review loop with evidence checks, durable state, explicit stop rules, and approval-gated outputs. Use before scheduling recurring growth work or turning a repeated marketing task into an agent loop.
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The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 6 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
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
- Distinctive: line 31
stop, error, and escalation rules.
- Very specific: line 36
Read docs/product-context.md or the repo's equivalent.
- Distinctive: line 41
Run a verifier before proposing action.
- Distinctive: line 53
Do not auto-publish, auto-send, shift ad spend, alter pricing, or contact people.
- Distinctive: line 54
Do not act on sparse, stale, personally identifiable, or unverified data.
- Distinctive: line 55
Do not treat a dashboard movement as causation.
- Distinctive: line 56
Keep the loop product-specific and delete it when it no longer earns its operating cost.
≈ “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.
Files
Bounded Growth Loop
Turn a proven recurring review into a safe, useful loop. The default output is a report or draft, never an unreviewed external action.
Use When
- a content freshness, SEO, funnel, partner, activation, or market-positioning review repeats on a cadence;
- a team wants a weekly or monthly operating rhythm without a full marketing runtime;
- a recurring agent task needs state, deduplication, evidence checks, and a clear human gate.
Loop Contract
Specify all of these before scheduling:
- cadence and trigger;
- action condition, distinct from the check itself;
- one intended outcome and bounded scope;
- source and product context inputs;
- self-check and evidence threshold;
- durable state, dedupe key, cooldown, and run log;
- proposal output location;
- stop, error, and escalation rules;
- approval boundary and rollback/discard path.
Workflow
- Read
docs/product-context.mdor the repo's equivalent. - Select one narrow loop; begin report-only or proposal-first.
- Match cadence to signal speed and sample size; do not create daily noise for slow signals.
- Define the condition that authorizes a recommendation or draft.
- Retain the report, evidence, and state outside ephemeral chat.
- Run a verifier before proposing action; distinguish tracking defects, seasonality, and real changes.
- Send external copy, publishing, scheduling, spend, pricing, outreach, or product mutations through explicit approval.
- Review whether the loop is still useful; pause it when it creates noise or no one acts on its output.
Default Levels
L1 report-only: reads and summarizes with no external mutation.L2 proposal-first: creates reviewable drafts or PRs behind a human gate.L3 governed: only after durable state, verifier evidence, budget limits, run log, rollback, and controlled settlement exist.
Guardrails
- Do not auto-publish, auto-send, shift ad spend, alter pricing, or contact people.
- Do not act on sparse, stale, personally identifiable, or unverified data.
- Do not treat a dashboard movement as causation; record alternative explanations.
- Keep the loop product-specific and delete it when it no longer earns its operating cost.
Pair With
product-contextfor approved product language and boundaries;loop-readiness-reviewfor readiness classification;bounded-evaluationfor the verifier;reversible-agent-taskandsocial-publishing-gatefor proposal and publication settlement.
Provenance
Adapted from coreyhaines31/marketingskills recurring-loop structure, aligned with ABVX proposal-first execution and loop-readiness gates rather than a marketing automation runtime.
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