Night Market Skill — ported from claude-night-market/scribe. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Session to Post#

Capture what happened in a Claude Code session and turn it into a blog post, case study, or social media thread that others can learn from.

The skill extracts the real story from git history, file changes, and conversation context, then shapes it into a narrative that shows process, not just results.

When To Use#

• After completing a meaningful chunk of work you want to share
• Creating dev blog content from real sessions
• Building case studies for tools, libraries, or techniques
• Producing marketing content that demonstrates capability
• Documenting a process for teammates who weren't in the session
• Sharing a session story with a Reddit community (r/programming, r/rust, r/Python, r/ClaudeAI, etc.)

When NOT To Use#

• Writing API reference documentation (use scribe:doc-generator)
• Creating step-by-step tutorials (use scribe:tech-tutorial)
• Cleaning up existing prose (use scribe:slop-detector)
• Internal project documentation (use sanctum:doc-updates)

Integration Points#

This skill connects to several others in the ecosystem. Use them when the post needs more than prose.

NeedSkillWhat it addsTerminal demo GIFscry:vhs-recordingRecord a build/test run as an animated GIFBrowser demo GIFscry:browser-recordingCapture a web UI walkthrough via PlaywrightComposite mediascry:media-compositionStitch terminal and browser GIFs side-by-sideProof of claimsimbue:proof-of-workVerify every number in the post with evidenceCode quality narrativepensive:code-refinementDescribe what was cleaned up and whyReview narrativeimbue:structured-reviewCapture review findings as post contentChange summaryimbue:catchupSummarize what changed for the post's "The Work" sectionDiff analysisimbue:diff-analysisRisk-scored change breakdown for technical audiences

Recording Integration (scry)#

When the post describes something visual (a running app, a test suite, a build pipeline) capture it instead of describing it.

Terminal recordings (build output, test runs, CLI demos):

text

Invoke Skill(scry:vhs-recording) with a tape that runs:
  make test        → shows 180 tests passing
  make play        → shows the build + server startup

Browser recordings (web apps, rendered output):

text

Invoke Skill(scry:browser-recording) with a Playwright spec that:
  navigates to the app
  interacts with it
  captures the result

Composition (side-by-side before/after, terminal and browser):

text

Invoke Skill(scry:media-composition) to stitch recordings into
a single visual that tells the story.

Place generated GIFs in docs/posts/assets/ and reference them from the markdown with relative paths.

Proof-of-Work Integration (imbue)#

Every claim in the post should be verifiable. Before finalizing:

text

Invoke Skill(imbue:proof-of-work) to:
  - Tag each claim with [E1], [E2], etc.
  - Run verification commands
  - Report PASS / FAIL / BLOCKED

This prevents publishing posts with stale numbers or broken examples.

Methodology#

Step 1: Extract Session Context#

Load the session-extraction module for the full checklist.

Gather raw material from what actually happened:

1. Git history: commits since the session started: bash

   git log --oneline --since="<session_start>" --stat
   
   

2. File inventory: what was created and changed: bash

   git diff --stat <start_commit>..HEAD
   
   

3. Test results: concrete evidence of what works: bash

   cargo test  # or the project's test command
   
   

4. Metrics: scope and scale: bash

   find . -name "*.rs" -not -path "*/target/*" | xargs wc -l
   
   

5. Conversation context: the user's goals, constraints, and decisions made during the session

Step 2: Identify the Story#

Every session post answers three questions:

1. What were we trying to do?: the goal, not the task list
2. What did we actually do?: the real path, including pivots
3. What came out of it?: concrete, measurable results

Look for:

• The hook: what makes this interesting? A hard problem, a surprising approach, an impressive result
• Turning points: where did the plan change? What broke? What worked unexpectedly?
• The number: one metric that captures the outcome (lines written, tests passing, performance gain, time saved)

Step 3: Draft the Post#

Choose format first:

FormatModuleWhenBlog postnarrative-structureDev blog, company blog, personal siteCase studynarrative-structureMarketing, tool demonstrationsSocial threadnarrative-structureTwitter/X, Bluesky, LinkedInReddit postreddit-formatCommunity engagement, r/programming etc.

For Reddit: load modules/reddit-format.md instead of the blog template below. The structure, tone, and quality gate differ.

Load the narrative-structure module for blog/case-study templates.

Blog post structure (adapt to content):

markdown

# Title: [Verb] + [What] + [With What]

## Opening (2-3 sentences)
What we set out to do and why. No throat-clearing.

## Starting Point
Where things stood before. Concrete: file counts, code state,
what worked and what didn't.

## The Work
Key phases. Focus on decisions and pivots, not keystrokes.
- Phase 1: [what and why]
- Phase 2: [what and why]
Include GIFs from scry recordings where visual.

## How We Tested It
What verification looked like. Show the test run, the proof-of-work
evidence. Include terminal recording GIF of tests passing.

## Results
Hard numbers. Before/after. What works now.
Screenshots or browser recording GIF if visual.

## What's Next
Honest remaining work. No false completeness.

Tone:

• Write like explaining to a colleague over coffee
• Specifics over adjectives ("180 tests" not "comprehensive suite")
• Show the mess: readers connect with pivots and debugging
• Credit the tools and techniques that made it work
• Under 1500 words unless the content demands more

Step 4: Quality Gate#

For blog posts and case studies:

1. Slop check: Skill(scribe:slop-detector) on the draft
2. Proof-of-work: Skill(imbue:proof-of-work) on all claims
3. Recording check: does any section need a GIF?
4. Title test: would you click this? Does it promise something specific?
5. Opening test: does paragraph one say what the post is about?

For Reddit posts (additional gates):

1. TL;DR present: is it after --- at the end?
2. Lede not buried: is the most interesting thing in the first two sentences?
3. Subreddit fit: does the content match the target subreddit's norms? Check the subreddit's top posts of the month.
4. First comment drafted: are the repo link and any reference material ready to post as a follow-up comment?
5. Header count: if the post is under 600 words, are headers absent (or replaced with bold inline labels)?

Step 5: Output#

Write the post to the requested location (default: docs/posts/).

Report:

• Format used (blog post / case study / Reddit post)
• Word count
• Slop score (blog/case-study only)
• Verifiable claims count
• Recordings generated (if any)
• For Reddit: target subreddit and first-comment content

Example#

A session that ported a Quake 2 engine from C to Rust:

Title: Rewriting a Quake 2 Engine in Rust with Claude Code

Opening: We took a 150,000-line C game engine and started rewriting it in Rust targeting WebAssembly. In one session we went from an empty workspace to a prototype loading real game data in the browser.

Starting point: A Yamagi Quake II fork compiled with Emscripten. Goal: idiomatic Rust with wasm-bindgen, glow for WebGL2, and matchbox for P2P multiplayer.

The work: Seven parallel agents built subsystems (collision, movement, filesystem, networking, renderer, server, client) while the main session coordinated integration. A Makefile with prerequisite checks automated the full build-to-browser pipeline including game data download.

How we tested: 180 unit tests across 13 crates. BSP loading verified against real Quake 2 demo pak0.pak. Browser diagnostics logged every init step. [Terminal GIF: make test output]

Results: 10,950 lines of Rust, 180 tests, real game data loading and flat-shaded BSP rendering in the browser with WASD movement and mouse look.

What's next: Textured rendering, collision debugging, sound, menus, multiplayer.

Every claim is checkable: line counts from wc -l, test counts from cargo test, file counts from filesystem log output.

Exit Criteria#

• Format selected (blog post, case study, or Reddit post)
• Session brief compiled from git history and conversation context
• Draft written to docs/posts/ (or specified path)
• For blog/case-study: slop score reported, all claims tagged with evidence references
• For Reddit: TL;DR present, lede in first two sentences, target subreddit identified, first comment drafted
• Word count and verifiable claim count reported
• Incomplete or unverifiable claims are flagged, not silently dropped