Make Content Creation Enjoyable with These 7 Skills

Image Analysis

Image 1 — itemized visible text, UI elements, chart data and observable phenomena (separate facts from inferences; mark unreadable areas)

Source info

- Image source information: incomplete (no source ID or URL provided).

Facts (directly readable from the image, no inference)

- Xiaohongshu logo/text (white text near upper-center of the image, likely platform/brand mark).

- Main headline (large text, two lines):

- Line 1 (orange large text): "做内容的人"

- Line 2 (white large text): "必装的7个skill"

- Note: the English word “skill” appears in Latin letters.

- Circular portrait overlay at top-right (a person wearing glasses visible; circular border evident).

- Background is a collage of magazine/pages and layout elements, including multiple photos (e.g., food plate, landscapes, illustration covers).

- Large number visible at bottom-left: "98%" (on a small UI element, with adjacent lowercase English word that appears like "RETENTION").

- An English label "FIG. 10" is visible on one page (upper-left of a page image).

- Right-side vertical Chinese partial characters readable: "在稻城" and "看见" (vertical arrangement; likely part of a title or subtitle).

- Small orange Chinese text on a central lower illustration cover (text is small and partly blurred).

- Overall image uses dark central illustration against light gray/white magazine pages with a transparent gray overlay to darken the background and emphasize the foreground headline.

Unreadable / partially legible areas (explicitly mark what cannot be read)

- Several small blocks of text on background pages are small, overlapped, or blurred and cannot be transcribed (e.g., food plate page, several paragraphs).

- The small orange text on the central illustration cannot be fully read (characters unclear or incomplete).

- Many small English words on magazine pages (aside from "FIG. 10" and possible "RETENTION") cannot be fully deciphered.

- Remaining characters of the right-side vertical title are cropped or blurred; only the listed fragments are legible.

Inferences (marked as assumptions, based on visible info but not directly readable)

- The image is likely a cover or promotional image on a content platform (Xiaohongshu) introducing "7 must-install skills for content creators" (inferred from headline style and platform mark).

- The circular portrait is likely the creator/author’s avatar (inference; no name or ID shown).

- The "98%" could denote a metric (retention, conversion, etc.) but the exact meaning cannot be determined from the image alone.

- The multi-page magazine collage likely serves as a visual motif to add layers to the cover design (inference).

Visible UI steps or interaction elements

- No explicit UI interaction steps are present (no button sequences, no clickable hints, no numbered steps); the image is a flat cover/collage design.

Visual phenomena and layout notes (for reproduction/publishing reference)

- Overlay layout: circular portrait overlays the collage at top-right; main headline centers lower with high-contrast colors (orange + white).

- Typography: bold Chinese headline in split lines; English "skill" uses Latin letters within the Chinese headline.

- Color contrast: orange and white headline on a darkened background; collage of pages provides texture while a transparent gray overlay emphasizes foreground readability.

Closing note (statement only)

- The above only records directly visible evidence and reasonable inferences from the image; no identity resolution or any information not explicitly present in the image is provided.

SkillPI Creation Analysis

Intended use (per the source):

- The source claims a set of seven Claude Code skills can be combined to create an end-to-end solo content production workflow: from material sourcing to drafting, cover/graphic generation, layout and final delivery (e.g., Xiaohongshu posts, cover images, print-quality documents). Original source URL: https://www.xiaohongshu.com/discovery/item/6a1c085e0000000035030cc6?xsec_token=ABDU13vN9GVI5zNhrvUcVxetEfMMSSoL7PWqrY00T99do=&xsec_source=pc_search&source=web_explore_feed

Image evidence summary (for verification and reproduction):

- The cover explicitly reads “做内容的人 / 必装的7个skill” and shows a Xiaohongshu mark, a circular author portrait, a collage background, and elements like “98%” and “FIG. 10.” The image source info in the provided evidence is labeled incomplete and should be verified for origin and copyright before reuse.

Described skills and recommended use (list with verification notes):

1) Agent Reach — described as “search 17 platforms with one prompt.” Recommended role: rapid multi-platform material discovery. Verify: which 17 platforms, query syntax, export formats.

2) opencli — described as browser automation. Recommended role: automated page navigation, scraping or batch downloads. Verify: supported browsers/environments, required drivers/permissions, and compliance with target sites’ policies.

3) AIHOT — described as automatic daily AI report generation. Recommended role: daily briefs or inspiration feeds for content. Verify: data sources, filtering rules, output format and schedule.

4) dbs skill — described as 17 business-diagnosis subtools. Recommended role: generate structured business analyses or content outlines. Verify: individual tool functions, inputs/outputs and templates.

5) kami — described as print-quality document layout. Recommended role: final PDF/print exports with typography and layout control. Verify: template support, font embedding and export options.

6) guizang-social-card — described as one-prompt Xiaohongshu post/card generation. Recommended role: quick social-card or post drafts for Xiaohongshu. Verify: output resolution, layout conformity with Xiaohongshu, and whether outputs are directly publishable.

7) Jacky-OPC — described as an end-to-end one-person content company system. Recommended role: orchestrate the above into a reusable pipeline. Verify: orchestration capabilities, error handling, and template support.

Practical workflow (high-level, based on the source claims; verify tools’ exact behavior before implementation):

- Prepare access: enable Claude Code and required skills, prepare platform credentials (e.g., Xiaohongshu), storage and templates.

- Step 1: Use Agent Reach (or equivalent) to bulk discover and collect candidate sources and links.

- Step 2: Use opencli to automate downloading or scraping of selected pages and images.

- Step 3: Use AIHOT to assemble a daily/weekly briefing or source summary for topic selection.

- Step 4: Use dbs skill to produce an analytical outline or business diagnosis to structure the piece.

- Step 5: Draft content in Claude Code; use guizang-social-card to generate social-card / Xiaohongshu-format visuals.

- Step 6: Use kami to perform final layout and export print-quality PDFs or high-res images.

- Step 7: Use Jacky-OPC to stitch these steps into a reproducible single-person production pipeline.

Prerequisites to reproduce this workflow:

- Access to Claude Code and the listed skills (activation/permission for each skill).

- Credentials or accounts for target platforms if you plan to publish directly (e.g., Xiaohongshu publishing access).

- Execution environment for browser automation (opencli) including any required drivers or remote execution setup.

- Asset storage, templates for layout, and license/rights clearance for sourced materials.

Items requiring verification before attempting reproduction:

- Actual capabilities and limits of each named skill (e.g., the claim of "17 platforms" or "print-quality").

- Licensing, cost, API limits or data source restrictions for each skill.

- Compliance with target platforms’ terms of service for automated scraping or automated posting.

- Original image/media source and copyright (the provided image evidence notes incomplete source info).

Note: The above recommendations and step sequence are derived from the quoted source description. The specific functionality, platform coverage and output formats of the named skills must be validated in your environment; do not assume full automation without verifying each skill’s documented behavior and legal constraints.