# Trend-to-Skill Blog System

> A monitored publishing loop that turns X, DeepSeek, CV, deep-learning, LLM, and agentic workflow signals into useful articles and reusable skills.

Cadence: Daily signal capture, weekly article brief review, and publish only when a public artifact or repeatable skill angle exists.
Canonical URL: https://zack-dev-cm.github.io/docs/field-notes/trend-to-skill-blog-system.md

## Workflow
1. Capture candidate signals from X through Computer Use when logged-in browsing is required, and from official changelogs or repos when a stable public URL exists.
2. Score each signal for topic fit, source quality, writer experience, skill-conversion value, and public-surface safety.
3. Promote only the best candidates into article briefs with a reader problem, source evidence, a build artifact, and a linked skill or project.
4. Publish the human-written field note, then convert repeatable workflow steps into a skill only after the article proves the workflow is reusable.

## Source Policy
- X is treated as a discovery source, not a factual source; every post-derived claim needs a second public source before publishing.
- DeepSeek, OpenAI, GitHub, arXiv, Papers with Code, and official docs can be cited directly when the URL is public and stable.
- Screenshots from logged-in feeds stay private unless manually redacted and approved for public use.
- No article should promise adoption, revenue, or benchmark quality unless a dated public source proves it.

## Medium-Style Quality Rules
- Start from first-hand builder experience, not a generic trend summary.
- Make the reader win concrete: a reusable checklist, debug path, benchmark gate, or skill template.
- Use a title, subtitle, and cover image that accurately represent the article instead of clickbait.
- Avoid link roundups; each article needs one original angle, one practical artifact, and properly sourced claims.
- Use AI for outlining and checks only; keep final narrative human-authored and disclose generated images when used.

## Codex Use-Case Anchors
- Use your computer with Codex
- Save workflows as skills
- Create a CLI Codex can use
- Learn a new concept
- Run verified operations

## Sources
### X live searches and trend tabs
- Monitor mode: computer-use-capture
- Cadence: Daily manual capture
- Query: x algorithm OR xai algorithm OR DeepSeek OR computer vision OR LLM agents OR OpenClaw OR Codex skill
- Signal use: Find early language, objections, and examples that can become article hooks after verification.
- Public route: https://x.com/search?q=x%20algorithm%20OR%20deepseek%20OR%20agentic%20ai&src=typed_query&f=live
- Private handling: Capture topic text, public URLs, and redacted screenshots only; do not publish logged-in feed context or private messages.
### DeepSeek official news and changelog
- Monitor mode: official-changelog
- Cadence: Daily URL check
- Query: DeepSeek releases, pricing, context length, tool calls, agent integrations, model retirements
- Signal use: Turn model changes into practical migration, benchmarking, and agent-workflow notes.
- Public route: https://api-docs.deepseek.com/updates/
- Private handling: Cite only official API docs, GitHub, Hugging Face, or reproducible local tests.
### OpenAI Codex use cases
- Monitor mode: use-case-library
- Cadence: Weekly review
- Query: Codex use cases for computer use, skills, CLI tools, verified operations, learning reports
- Signal use: Map article ideas to a Codex workflow so the post can end with a reusable skill or CLI artifact.
- Public route: https://developers.openai.com/codex/use-cases
- Private handling: Use official OpenAI docs as the source of truth for Codex feature framing.
### CV and deep-learning research feeds
- Monitor mode: research-feed
- Cadence: Two checks per week
- Query: OCR, segmentation, multimodal retrieval, VLM evaluation, video search, face texture QA
- Signal use: Find technical shifts that can become reproducible CV lab gates or portfolio case-study updates.
- Public route: https://paperswithcode.com/
- Private handling: Prefer papers, repos, datasets, and reproducible examples; avoid unpublished client or lab data.
### Skill and workflow repositories
- Monitor mode: repo-release
- Cadence: Weekly release scan
- Query: ClawHub skills, GitHub releases, README changes, validation gates, browser-proof workflows
- Signal use: Connect a trend to an existing skill link, or identify the missing skill worth building next.
- Public route: https://clawhub.ai/zack-dev-cm/data-science-cv-repro-lab
- Private handling: Use only public package pages, public repositories, and generated portfolio case studies.
## Starter Queue
### When an X algorithm claim deserves an x-algo skill update
- Source: X live searches and trend tabs
- Topic: X algorithm and feed transparency
- Status: skill-candidate
- Score: 88/100
- Why now: X algorithm discussion moves fast and creates repeated misunderstanding; the existing skill can audit public claims against source code and public evidence.
- Skill angle: Update or link the X algorithm claim auditor and open-feed recsys lab when a claim can be tested against public sources.
- Article angle: A builder note on turning a viral algorithm claim into a cautious evidence table instead of another hot take.
- Guardrail: Do not infer private reach, shadowban status, or account-specific ranking behavior from public chatter.
- Proof link: [X Algo Claim Auditor on ClawHub](https://clawhub.ai/zack-dev-cm/x-algo-claim-auditor)
- Proof link: [Open Feed Recsys Lab on ClawHub](https://clawhub.ai/zack-dev-cm/open-feed-recsys-lab)

### DeepSeek V4: the migration article should be a test plan, not a hype post
- Source: DeepSeek official news and changelog
- Topic: DeepSeek model releases and agentic coding
- Status: draft-next
- Score: 84/100
- Why now: Official DeepSeek docs describe V4 preview, long context, agent integrations, and retirement dates for legacy model names.
- Skill angle: Build a migration-check skill that reads official docs, updates model names in a sandbox, and runs regression prompts before publish.
- Article angle: A Medium-style field guide showing how to convert a model release note into migration gates for agentic tools.
- Guardrail: Only cite official docs or reproducible local tests; do not repeat third-party benchmark claims without verification.
- Proof link: [DeepSeek changelog](https://api-docs.deepseek.com/updates/)
- Proof link: [Agentic Codex Dev Skill](https://github.com/zack-dev-cm/agentic-codex-dev-skill)

### Computer-vision trend notes need reproducibility gates before they become tutorials
- Source: CV and deep-learning research feeds
- Topic: CV, OCR, segmentation, and multimodal retrieval
- Status: watch
- Score: 79/100
- Why now: CV trends often move from paper to demo without enough deployment or quality-gate detail for builders.
- Skill angle: Route promising papers through the CV Repro Lab workflow and publish only the gate, artifacts, and limits.
- Article angle: A practical article on how to turn a CV paper or demo into a release-gated experiment readers can reproduce.
- Guardrail: Do not claim model quality from screenshots; require metrics, failure cases, and reproducible artifacts.
- Proof link: [CV Repro Lab Skills](https://zack-dev-cm.github.io/projects/cv-repro-lab-skills.md)
- Proof link: [Fast OCR ONNX Inference Server](https://zack-dev-cm.github.io/projects/fast-ocr-onnx-inference-server.md)

### Codex use cases as article endings: every post should leave a workflow behind
- Source: OpenAI Codex use cases
- Topic: Codex, Computer Use, skills, CLI tools, and verified operations
- Status: ready-to-write
- Score: 91/100
- Why now: The Codex use-case library explicitly frames computer use, skills, learning reports, CLI creation, and verified operations as repeatable workflows.
- Skill angle: End each serious article with a skill contract, CLI command, or verification checklist that Codex can reuse.
- Article angle: A portfolio field note explaining the article-to-skill conversion loop and how it avoids generic trend writing.
- Guardrail: Do not imply Codex performed external actions unless a local log or public artifact verifies the workflow.
- Proof link: [OpenAI Codex use cases](https://developers.openai.com/codex/use-cases)
- Proof link: [Agentic Codex Dev Skill](https://zack-dev-cm.github.io/projects/agentic-codex-dev-skill.md)

## Article Patterns
### Trend autopsy
Explain why a noisy trend matters by reproducing the smallest useful example and separating claim from proof.
1. Open with the public signal and the practical confusion it creates.
2. Show what is verified, what is speculation, and what was tested locally.
3. End with a reusable checklist or skill candidate.

### Skill build note
Turn a repeated workflow into a public skill with instructions, guardrails, verification, and links.
1. Name the repeated job and why manual execution breaks down.
2. Show the skill contract, inputs, blocked actions, and public-surface rules.
3. Link to GitHub, ClawHub, and the generated portfolio case study when available.

### Migration field guide
Convert release notes into safe migration steps for model APIs, benchmarks, or agentic workflows.
1. State the deadline or release change with official-source links.
2. Map old behavior to new behavior and list tests that catch regressions.
3. Close with a small script, eval, or review gate readers can reuse.

## Public-Surface Rules
- Treat X as discovery unless the claim is backed by a second public source.
- Redact or exclude logged-in screenshots, private messages, account-only recommendations, and unpublished analytics.
- Keep final articles human-authored; use AI for outline, fact-check, spelling, and grammar support only.
- Link skills and projects only when the public page is stable and matches the article claim.