continuous-improvement-loop
Run the Part 12 continuous improvement loop into a quarterly brief for leadership.
Skill by indranilbanerjee
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.
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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
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/continuous-improvement-loop
Tools it pre-approves 6
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
ReadWriteEditBashGlobGrep
What's inside
- Skill name
continuous-improvement-loop- Description
- Run the Part 12 continuous improvement loop into a quarterly brief for leadership. "produce the quarterly improvement brief"
- License
- MIT
- Allowed tools
- Read, Write, Edit, Bash, Glob, Grep
- Instructions
- 274 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves any shell command
Files (1)
- SKILL.md
SKILL.md (first lines)
# /digital-marketing-pro:continuous-improvement-loop — Part 12 Continuous Loop
> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).
Part 12 is the continuous improvement loop that runs alongside live operations from go-live onwards. It aggregates market signals and operating signals into recommendations that feed back into the brand's product, offering, and service decisions.
## Context efficiency
Heavy skill. **Grep before Read** any referenced file, then `Read` only matched ranges with `offset` + `limit`. List the brand's workspace at `~/.claude-marketing/brands/{slug}/` (or `$CLAUDE_PLUGIN_DATA/digital-marketing-pro/brands/{slug}/` when that env var is set) before opening files. On re-invocation mid-session, skip files already in context.
This is **not a one-time activity**. It runs perpetually once Part 11 is complete, with formal output at each Quarterly Business Review (QBR) and ad-hoc output when significant signals warrant.
## Why this exists
Without an explicit feedback loop, marketing operates on assumptions made months ago. Markets shift, customers evolve, competitors move, products are refined — but if these shifts do not flow back into the strategy, the engagement silently grows stale.
Part 12 closes the loop:
- Market signals → strategy refresh
- Operating signals → tactical optimisation
- Product / offering signals → recommendations to product / business teams
## The 4 Signal Sources
### Source 1: Quarterly Business Reviews
Every quarterly review (per [reporting-cadence.md](../context-engine/reporting-cadence.md)) generates structured signals:
- KPIs vs targets (which targets were missed; which were beaten; pattern across quarters?)
- Channel-mix performance (any channel consistently outperforming or underperforming the v2 plan?)
- Audience segment performance (any segment showing different behaviour than the personas predicted?)
- Competitive shifts (any competitor moves that materially change the landscape?)
- Strategy alignment audit (is what we are executing still what the v2 strategy says we should be executing?)
### Source 2: Customer Feedback Themes
Feedback from across customer touchpoints:
- Customer service tickets (volume by topic, sentiment trend)
- ORM (Online Reputation Management) — review sites, social mentions
- Sales team conversations (objections heard repeatedly, requests not yet met)
- Customer journey friction observations (where customers drop off, where they ask for help)
- Survey / NPS responses
- Customer interviews
### Source 3: Competitive Intelligence
From the ongoing competitor monitoring (existing `/digital-marketing-pro:competitor-monitor` skill):
- Product / offering shifts at competitors
- Pricing changes
- Positioning shifts (messaging, target audience)
- New entrant emergence
- Acquisitions / partnerships changing the competitive landscape
### Source 4: Team-Discovered Patterns
Insights from execution that the team surfaces:
- Campaigns that consistently underperform — may indicate product-market mismatches
- Audiences requesting features the product does not yet offer
- Conversion friction points that recur across many campaigns
- Channel performance patterns that suggest the buyer journey has shifted
## Cadence
Part 12 is active continuously, with structured outputs:
| Cadence | Trigger | Output |
|---------|---------|--------|
| **Daily / weekly** | Automated signal capture as part of normal operations | Signals logged to `part-12-continuous-improvement/signals.jsonl` |
| **Monthly** | Monthly performance report | "Signals This Month" section in the report; logged to signals.jsonl |
| **Quarterly** | QBR | Structured Part 12 deliverable — see below |
| **Ad-hoc** | Significant signal (e.g., competitor product shift, sales team flagging recurring objection, KPI suddenly cratering) | Ad-hoc Part 12 brief produced within 1 week |
## The Quarterly Part 12 Deliverable
Each quarter, the continuous loop produces a structured deliverable for the brand business owners — not just marketing leadership.
### Structure
```markdown
---
document: part-12-quarterly-improvement-brief
engagement: {engagement-id}
quarter: {YYYY-Qn}
produced: {iso-timestamp}
audience: brand business leadership
---
# Quarterly Product & Offering Improvement Brief — {Quarter}
## Executive Summary
(3-5 sentences. The signals that matter most. The recommendations that follow.)
## Signal Aggregation
### Market signals
{Macro market shifts observed in the quarter}
### Customer signals
{Aggregated themes from customer feedback, ORM, sales conversations}
### Competitive signals
{Competitor moves that warrant response or reflection}
### Operating signals
{Patterns from execution — campaigns that under/outperformed; audience surprises; channel shifts}
## Implications
### For the brand strategy
{What in the v2 strategy looks confirmed by the quarter? What looks weakened? Anything that warrants v2.x update-back?}
### For the channel mix
{Any channel reweighting recommended?}
### For the product / offeringFrom indranilbanerjee/digital-marketing-pro, MIT.
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Signals
- Stars
- 909
- Forks
- 146
- Open issues
- 0
- Last commit (this folder)
- Oct 9, 2026 (18 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
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Cite this page
continuous-improvement-loop skill. Agent Mart. https://agentmart.dev/skills/indranilbanerjee-continuous-improvement-loop (last updated 2026-10-24)