Use this skill whenever the user asks to implement, build, fix, ship, add, refactor, migrate, or change ANY code — features, bugs, plugins, skills, migrations, hooks, rules, configs, in any repo. Triggers on 'build X', 'fix Y', 'implement Z', 'ship this to <plugin>', a ticket id with code work. This is the Agentic SDLC pipeline; do NOT hand-roll `codex exec` or ad-hoc git/PR shipping — route through Stage 0 (claim), the 9 core stages, the Gate-A.5 change-manifest gate, Gate-A.7 design-review gate, Stage 5.5/5.6/5.7/5.8 quality gates, and Stage 10 (completion).
Activate real-time prompt sharpening and persona detection. Use when the user says "co-dialectic", "cod", "codi on", "improve my prompts", "prompt sharpening", "teach me to prompt", or wants to improve their AI communication skills. Provides status line, persona system, caliber enforcement, prompt improvement, context management, auto-codification protocols, and auto-verification by stakes (Protocol 8 — fires hallucination-detector / judge-panel / unknown-unknown / canonical-claim verifier automatically before every substantive output, scaled to the stakes of the artifact).
Surfaces one-week and two-week follow-up nudges for applications that are applied and awaiting response, with a plain-text draft ready for the human to approve. Draft-only: never sends. Use when the user asks what to follow up on, stale applications, application nudges, or job-search follow-ups.
Detects explicitly shareable career milestones in the job pipeline and surfaces draft-only brand-post prompts. Fail-closed by firewall design: no shareable flag means no suggestion. Use when the user asks for milestone brand moments, career-to-brand prompts, or shareable pipeline milestones.
Career OS home screen and central router. Two jobs: show the dashboard and route every action to the correct skill. Mission Control reads and presents but never directly edits persistence files.
Maps your network to target companies. Discovers warm intro paths, scores connection strength (5-level scale), ingests new contacts from conversation, and recommends who to reach out to and how. Also detects relationship origin (where/when you met) and cohort clusters (people from the same company/era). Records inbound recruiter DMs that came from the user's public posts as brand-attributed pipeline opportunities. Say "who do I know at [Company]", "how do I know [Name]", "tell me about [Contact]", or "a recruiter DM'd me after seeing my post".
Shows the live job pipeline — active interviews, referral status with overdue alerts, applied roles, apply queue, and summary metrics. Reads job-pipeline.json and job-pipeline-match-tracker.json and renders a formatted view on demand. Say "pipeline", "show referrals", "who's in the queue", or "pipeline summary".
Scores how well the user's LinkedIn profile narrative aligns with their brand voice, content themes, and Context Engine positioning. Use when the user asks for profile-brand alignment, LinkedIn/profile coherence, brand voice fit, content theme consistency, or gaps where the profile undercuts their public brand. Advisory scoring only; does not rewrite the profile.