jobsearch

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Discover and scrape jobs from 2,800+ companies using Ashby as their ATS. Search and filter by location, remote status, department, and keywords. Use when looking for jobs, researching companies hiring, or building job market intelligence.

Scrape all Ashby job boards and search for matching roles. Runs the full discover-scrape-search pipeline. Use when user says "scrape ashby" or wants to run the full job scraping pipeline.

Professional fiction editor with 6 passes. Checks AI pattern contamination, voice fidelity, POV consistency, continuity, prose tightening, and scene assessment. Assembles scenes into chapter.md.

Add YouTube video embeds and mermaid diagrams to the article. Replaces placeholders with actual embed code.

Evaluate article quality against targets defined in article.json. All thresholds are read from the spec, not hardcoded. Returns PASS or FAIL with specific issues.

Brainstorm plot developments, character arcs, scene suggestions, and thematic explorations. Reads voice profile, open threads, and continuity state to generate grounded, voice-aware ideas.

Generate a detailed article outline from completed research. Creates subsections with conversational headers (no colons) and prose-focused structure.

Generate a comprehensive article specification. Creates detailed scaffolding with narrative beats, word targets, and example requirements. Supports multiple content types and custom word lengths.

Deep research for an article section. Scales research depth based on article.json targets. Gathers sources, finds real-world examples, collects supporting evidence, and identifies case studies.

Fact-check, polish, and finalize the article. Verifies sources, fixes editorial issues (bullet-heavy sections, colon headers), and marks complete.

Write a comprehensive article section with strong narrative prose, real examples, and inline citations. Reads word targets and prose ratio from article.json. Prioritizes flowing text over bullet lists.

Main autonomous loop for writing articles. Orchestrates research, writing, and quality evaluation until all gates pass. Reads all targets from article.json — supports any content type and word length.

Produce a deep intelligence dossier on one or more target companies. Goes beyond basic research to find current openings, key contacts, pain points, and specific angles for outreach. Use when Doug is ready to seriously pursue a company.

Research and discover companies matching Doug Silkstone's job search criteria. Use when searching for companies in specific industries, verticals, or regions.

Craft personalized outreach materials for a target company. Takes a company name (must already have a strategy at journey/strategies/{company-slug}.md) and produces the actual messages, CV tailoring notes, portfolio selection, and follow-ups.

Log a significant action, decision, or milestone in the job search journey. Use to capture what we did, why, and what happened — building a narrative that can later become content.

Generate a concrete, actionable outreach plan for a specific company. Requires a deep-dive dossier to already exist. Produces a step-by-step strategy with hooks, channels, messaging drafts, and follow-up sequences.