find-series-opportunities

find-series-opportunities is a skill for Claude Code, Codex from phazonoverload/devadvokit. It costs 46 tokens per session (919 once invoked), scanned A, original, MIT.

A content-analysis skill that finds groups of related pieces in an existing library and turns them into possible article or presentation series. It looks for shared themes, repeated ideas, and unfinished storylines.

In plain words
What is it for?
It is for grouping content by theme, identifying missing parts of a series, and suggesting ways to explain how related pieces fit together.
Why use it?
It helps reveal connections between existing work that may be difficult to notice when reviewing pieces one at a time. It also keeps series discovery separate from publishing schedules and search-engine planning.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for grouping content by theme, identifying missing parts of a series, and suggesting ways to explain how related pieces fit together.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phazonoverload/devadvokit/find-series-opportunities
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add phazonoverload/devadvokit --skill find-series-opportunities
Clone the repo
git clone --depth 1 https://github.com/phazonoverload/devadvokit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for find-series-opportunities

README.md
[![agentmods](https://agentmods.dev/badge/skills/phazonoverload/devadvokit/find-series-opportunities/github.svg)](https://agentmods.dev/skills/phazonoverload/devadvokit/find-series-opportunities)
Your own site
<a href="https://agentmods.dev/skills/phazonoverload/devadvokit/find-series-opportunities"><img src="https://agentmods.dev/badge/skills/phazonoverload/devadvokit/find-series-opportunities/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for find-series-opportunities

Your own site · 80×15
<a href="https://agentmods.dev/skills/phazonoverload/devadvokit/find-series-opportunities"><img src="https://agentmods.dev/badge/skills/phazonoverload/devadvokit/find-series-opportunities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 919 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00919
Opus 5.5 $0.00018 $0.00368
Sonnet 5.5 $0.00009 $0.00184
Haiku 4.5 $0.00005 $0.00092

Measured 2mo ago against content hash 0ef8cebf4b5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

find-series-opportunities scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/find-series-opportunities/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Before doing anything else:

  1. Check if ~/.devadvokit.md exists.
  2. If it does, read it silently and use it throughout this skill.
  3. If it does not, stop and tell the user: "I need your DevRel context before I can run this skill. Please run /setup-devadvokit first."

What NOT to Do

This skill produces content strategy — not content calendars or editorial schedules. Specifically:

  • No publication dates — that's an editorial planning skill
  • No content calendar — this is about theme discovery and arc completion
  • No SEO analysis — this is about conceptual relationships, not search optimization

The goal is finding the series hiding in your existing work.


How This Skill Works

This skill reads your content library from ~/.devadvokit.md and finds patterns across it. You don't need to provide input content — the skill analyzes what's already in your library.


Output

Produce all of the following after reading the content library.

1. Thematic Clusters

Content grouped by underlying theme (not just surface topic):

For each cluster (2+ pieces identified):

  • Cluster name: [The underlying theme that connects them]
  • Pieces in this cluster:
    • "[Title]" ([Year]) - what angle it takes
    • "[Title]" ([Year]) - what angle it takes
  • The connection: [Why these belong together beyond being the same topic]
  • Series potential: [Low/Medium/High — whether this could become an intentional series]

Identify 2–4 clusters minimum.

2. Repeated Points from Different Angles

Where you've made the same core point without realizing it:

For each repeated point found:

  • The recurring insight: [The point you keep making]
  • Where it appears:
    • "[Title]" ([Year]) - how you framed it
    • "[Title]" ([Year]) - how you framed it
  • What's different each time: [How the framing shifts]
  • Series candidate? [Yes/No — whether these could be consolidated or sequenced]

3. Incomplete Arcs

Where you wrote part 1 and part 3, but part 2 is missing:

Read the full file on GitHub · 115 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 115 lines · 46 tokens per session scan A 0ef8cebf4b5e

Subscribe to this mod's changes

find-series-opportunities is a skill published in the GitHub repository phazonoverload/devadvokit (16 stars, last pushed 7mo ago), licensed MIT. It adds 46 tokens to every session and 919 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

find-series-opportunities compared with skills from other repositories

find-series-opportunities next to 6 skills from other repositories
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