Agent Skills: SPINE Framework

Evaluate and improve technical articles using the SPINE framework. Use when writing blog posts, technical documentation, tutorials, or reviewing draft articles for quality.

UncategorizedID: jagreehal/jagreehal-claude-skills/spine-framework

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skills/spine-framework/SKILL.md

Skill Metadata

Name
spine-framework
Description
Evaluates and improves technical articles against the SPINE framework (Stakes, Point, Illustration, Nuance, Exit, plus Voice and Clean) to verify they carry a real insight, prove it, and land. Use when writing or reviewing blog posts, tutorials, technical documentation, or any draft article, or when scoring an article's quality.

SPINE Framework

Overview

SPINE is a rubric for technical writing: Stakes, Point, Illustration, Nuance, Exit, with Voice and Clean layered on top. It exists because most technical articles fail in predictable, fixable ways: no insight, unproven claims, no admitted limits, and a conclusion that trails off. SPINE names each failure so you can catch it before publishing.

The principle is substance first, polish last: every great article needs a strong spine before it needs nice prose. The iron law: no insight, no article. A grammatically perfect piece with nothing non-obvious to say is still a 4/10. SPINE is an evaluation lens, not an article structure. It tells you whether the elements are present; it does not dictate headings.

When to Use

  • Writing a blog post, tutorial, or technical article
  • Reviewing or editing a draft for quality
  • Scoring an article before publishing
  • Deciding whether a piece has a real point worth shipping

When NOT to use: Reference documentation structure (use documentation-standards); preserving an author's voice during line edits (use structured-writing); code or system design (use design-principles).

Related: documentation-standards for reference docs and information-carrying headings, structured-writing for voice-preserving edits, concise-output which aligns with the Clean section.

SPINE Is for Evaluation, Not Structure

NEVER: use the SPINE acronym as headings in articles (e.g., "S: Stakes", "P: Point").

ALWAYS: use information-carrying headings that describe actual content (e.g., "Why Your JWT Implementation Is Vulnerable", "The Retrieval Bias Problem").

SPINE evaluates whether articles contain these elements; it doesn't dictate article structure. Headings must be relevant to content, not framework labels.

The Hierarchy

When elements conflict, prioritize in this order:

| Priority | Element | Core Question | |----------|---------|---------------| | 1 | Point | What's the non-obvious insight? | | 2 | Stakes | Why should anyone care? | | 3 | Illustration | Does the proof actually prove? | | 4 | Nuance | What could go wrong? | | 5 | Exit | Did you land the plane? | | 6 | Voice | Authority without arrogance? | | 7 | Clean | Mechanical polish? |

Iron Law: No insight = no article. Point comes before everything.


S: Stakes (Reader Contract)

An article without clear stakes is a lecture no one asked for.

The First 30 Seconds

  • MUST: Make WHO this is for explicit in the first 5–10 lines
  • MUST: State a concrete, felt problem (not abstract)
  • MUST: Define what the reader will DO (not just understand)
  • MUST: Set scope boundaries ("This covers X, not Y")
  • SHOULD: Name assumed knowledge ("Assumes familiarity with X")

Litmus Tests

  • Could a reader decide in 20 seconds if this is for them?
  • Is the problem something they've already experienced (not hypothetical)?
  • Would they feel stupid if they shared it and it wasn't relevant to the recipient?

Bad vs Good

| Bad | Good | |-----|------| | "Let's explore balanced retrieval." | "You'll learn a retrieval pattern that prevents confirmation bias in RAG systems." | | "Authentication is important." | "Your JWT implementation probably has one of these three vulnerabilities." | | "This post is about caching." | "By the end, you'll know when Redis makes things slower, not faster." |


P: Point (Core Insight)

A grammatically perfect article with no insight is still a 4/10.

Requirements

  • MUST: State the core insight in ONE sentence without "how"
  • MUST: Challenge a default belief or common practice
  • MUST: Place the insight in the first 20% of the article
  • MUST: Repeat the insight at least twice (intro + conclusion)
  • SHOULD: Name a pattern readers feel but haven't articulated

Insight Categories

| Type | Example | |------|---------| | Challenges belief | "Microservices make most systems slower to develop, not faster" | | Exposes mistake | "Your 'secure' password hashing is probably using the wrong work factor" | | Names the pattern | "Retrieval isn't neutral — query framing creates epistemic bias" | | Reveals mechanism | "Why code review catches bugs but not bad design" |

Litmus Tests

  • Would a senior engineer want to read more after just the thesis sentence?
  • Does the insight make someone uncomfortable or defensive? (Good sign.)
  • Could this insight be a tweet that gets mass engagement?

I: Illustration (Proof That Proves)

Abstract correctness isn't enough. Show it working.

Accuracy & Proof Requirements

  • MUST: Back all claims with running code OR verified trusted web sources
  • MUST: Code examples actually run and produce the shown output
  • MUST: Cite external sources with URLs (no "some say" or "experts believe")
  • MUST: Remove claims you cannot prove with code or trusted sources
  • MUST: Source all statistics from verified sources with citations
  • NEVER: Make up examples, outputs, or claims
  • NEVER: Use hypothetical scenarios as proof
  • NEVER: Fabricate data or results
  • NEVER: Include unverified statistics ("studies show" without citation)

Iron Law: If you can't prove it with running code or a verified source, remove it.

Examples

  • MUST: Include at least one end-to-end example (problem → solution)
  • MUST: Show output, don't describe it
  • MUST: Use realistic data (no foo/bar)
  • MUST: Tie the example directly back to the stated problem
  • SHOULD: Include a comparison (naive approach → failure → improved approach)

Code Quality

  • MUST: Test code before publishing (it actually runs)
  • MUST: Show output generated by running the code shown (not fabricated)
  • MUST: Make code copy-paste friendly (no screenshots, no invisible characters)
  • MUST: Show error handling or explicitly mark it as elided
  • MUST: Show interfaces/types, not just imply them
  • MUST: Verify all code examples produce the claimed results
  • SHOULD: Specify dependencies and versions
  • SHOULD: Distinguish pseudocode from real code
  • NEVER: Use inconsistent naming across sections
  • NEVER: Show output that doesn't match actual code execution

Diagrams & Visuals

  • MUST: Reference every diagram in text or provide a caption
  • MUST: Make diagrams legible at 50% zoom
  • MUST: Explain something text alone wouldn't
  • NEVER: Use color as the only differentiator (accessibility)
  • NEVER: Duplicate what prose already says clearly

Litmus Test

Could a reader implement this after reading, without googling?


N: Nuance (Intellectual Honesty)

Experts trust authors who admit weaknesses. Amateurs hide them.

Failure Modes

  • MUST: Name the failure mode that will bite readers first
  • MUST: Discuss at least 2 failure modes total
  • MUST: Include "This breaks when..."
  • SHOULD: Address false positives/negatives (if applicable)

Tradeoffs

  • MUST: Acknowledge costs (latency, complexity, maintenance, cognitive load)
  • MUST: State clearly when NOT to use this
  • SHOULD: Mention alternative approaches
  • SHOULD: Steelman the opposite position

Litmus Tests

  • Would you mass-send this to your former team?
  • Did you include the caveat you'd add verbally when presenting?
  • If this approach failed for a reader, would they blame you or themselves?

E: Exit (Land the Plane)

Most articles fail here. They trail off instead of concluding.

Strong Endings

  • MUST: Restate the insight, not the content
  • MUST: Make clear exactly when to use this pattern
  • MUST: Provide a crystal-clear one-sentence takeaway
  • MUST: Echo the opening promise (callback)
  • SHOULD: Make extensions/next steps feel additive, not tacked on
  • SHOULD: Make the final paragraph sound like domain expertise, not a recap
  • NEVER: End with "I hope this was helpful!"
  • NEVER: End with "There's much more to explore."

The Callback Test

  • MUST: Conclusion echoes the opening promise
  • MUST: If you deleted the middle 50%, intro and conclusion would still connect

Bad vs Good Endings

| Bad | Good | |-----|------| | "In conclusion, we covered X, Y, and Z." | "The next time retrieval feels 'off,' check your query framing before your embeddings." | | "I hope this was helpful!" | "This pattern costs you 40ms. It buys you answers your users actually trust." | | "There's much more to explore." | "Start with the bias detection query. Most teams find something in the first hour." |


Voice: Authority Without Arrogance

10/10 articles sound confident, not loud.

Tone

  • MUST: Use declarative sentences ("This fails because..." not "It might be problematic...")
  • MUST: Make every adjective measurable or remove it
  • MUST: Explain WHY it works, not just that it works
  • SHOULD: Engage disagreement, not dismiss it
  • NEVER: Use marketing fluff ("game-changing", "revolutionary", "powerful", "robust")
  • NEVER: Moralize ("developers should...", "you need to...")

Reader Respect

  • MUST: Match depth to the stated audience (don't explain imports to senior engineers)
  • SHOULD: Define jargon or deliberately gatekeep (both valid; be intentional)
  • NEVER: Include "throat-clearing" paragraphs (preamble that delays the point)
  • NEVER: Restate what was just said (unless reframed)
  • NEVER: Use filler transitions ("Now let's take a look at...")

Litmus Test

Would a senior engineer trust this without knowing who wrote it?


Clean: Mechanical Polish

These don't add value, but violations subtract trust immediately.

Language & Grammar

  • MUST: Choose US or UK English and use it consistently
  • MUST: No spelling errors
  • MUST: No missing articles ("the", "a", "an")
  • MUST: No sentence fragments (unless intentional for emphasis)

Punctuation & Style

  • MUST: Consistent hyphenation throughout
  • MUST: Lists use parallel grammar (all verbs or all nouns)
  • MUST: Code blocks use consistent formatting and indentation
  • SHOULD: No em dashes unless explicitly part of brand style
  • SHOULD: No emoji unless explicitly appropriate for the platform

Structure

  • MUST: Headings form a logical outline on their own
  • MUST: Headings use information-carrying words (describe content, not framework labels)
  • MUST: Each section answers ONE question
  • MUST: Sections start with a claim, not background
  • SHOULD: No paragraph exceeds 4–5 lines (desktop)
  • NEVER: Use the SPINE acronym (S, P, I, N, E) as headings in articles
  • NEVER: Include sections that exist "because it feels right"

Hygiene

  • MUST: All links work (no rot, no "click here")
  • MUST: All claims verifiable (running code or trusted sources)
  • SHOULD: Note date sensitivity if time-bound
  • SHOULD: Credit ideas from others explicitly

Common Rationalizations

| Rationalization | Reality | |------------|---------| | "The writing is clean, so it's a good article" | Clean is the lowest-priority element. Without a Point, polish is lipstick on a 4/10. | | "The insight is obvious once you read the whole thing" | If the reader can't get it from the first 20%, they won't read the whole thing. State it up front. | | "I'll describe the output instead of running the code" | Described output is fabricated until proven. Run it and paste the real result. | | "Admitting failure modes makes me look unsure" | The opposite. Naming the limits is what makes experts trustworthy. | | "Using SPINE as headings keeps me organized" | It tells readers nothing. Headings must carry information, not framework labels. |

Red Flags

  • No statable one-sentence insight, or the insight is buried past the first 20%
  • Claims with no running code and no cited source
  • Output described rather than shown, or output that doesn't match the code
  • No "this breaks when..." section, zero admitted failure modes
  • A conclusion that recaps content instead of restating the insight
  • Endings like "I hope this was helpful!" or "There's much more to explore."
  • Marketing fluff: "game-changing", "revolutionary", "powerful", "robust"
  • SPINE letters used as article headings
  • foo/bar placeholder data instead of realistic examples

Pre-Flight Checklist

Run before publishing. Six questions, five minutes.

| # | Question | Pass? | |---|----------|-------| | 1 | Can I state the core insight in one sentence without "how"? | [ ] | | 2 | Did I run every code block and verify the output matches? | [ ] | | 3 | Can I prove every claim with running code or a verified trusted source? | [ ] | | 4 | Did I say when NOT to use this? | [ ] | | 5 | Does the intro make a promise the conclusion keeps? | [ ] | | 6 | If the reader implements this and it fails, will they blame me or themselves? | [ ] |

Scoring Guide

| Score | Description | |-------|-------------| | 10 | Strong insight, honest about limits, reader could implement immediately | | 8–9 | Solid insight, good examples, minor gaps in nuance or polish | | 6–7 | Useful content but the insight is obvious or examples are weak | | 4–5 | Correct information, no insight, reads like documentation | | 1–3 | Unclear purpose, untested code, or misleading claims |