agent-marketplace

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.

Generates copy-pasteable answers for job application portal questions. Takes a role reference (#N or company name), fetches the JD, and produces answers grounded in your stories, identity, and skills matrix — each sourced to specific evidence. Say "answer questions for #68" or "answer Harvey Director" or "portal questions for Kadence". Also handles custom questions when you paste them.

Your apply-ready pipeline view with quick actions. Shows scored roles grouped by decision tier, supports filtering (by score, company, decision, status), and routes actions to the right skill. Say "dashboard" to see what to apply to, "dashboard skipped" for skipped roles with reasons, "dashboard Anthropic" for company-specific view. Accepts actions like "cover letter for #68", "applied to Kadence", "skip #72", "answer questions for Harvey Director".

Tracks application lifecycle after you apply — updates status across pipeline, tasks, and match tracker when you get a response, schedule an interview, or receive a rejection. Closes the loop between "I applied" and "what happened". Triggers: "I applied to", "update status", "got rejected from", "interview scheduled", "heard back from", "application update", "track application", "mark as applied", "they rejected me".

ATS form submission via Playwright with persistent authenticated profile. Converts `blocked_on: human` manual-submit tasks to `blocked_on: browser-submit` auto-resolved tasks. Orchestrated by cruise-control; never invoked directly for first applications in a company (dry-run + human-approve-first gate).

Week 1 onboarding wizard for new Career Intelligence users. Interviews the user across 3 areas (work history, skills, job search preferences), then generates the 2 required context files that Career Intelligence needs to run. The outreach-composer, outreach-fact-check, resume-engine, and job-match-scorer skills all load these files automatically — the user never re-explains their background.

First-class cover-letter generation for any application, tracked or untracked. Generates uploadable DOCX and PDF cover letters from explicit company, role, JD, and grounded candidate identity. Say "write a cover letter for [Company]", "cover letter for [Company]", or "cover letter".

Autonomous execution engine for Career OS. Takes a plan (from open GitHub Issues at $CAREER_GITHUB_REPO, or a conversation-agreed task list) and executes it end-to-end — applying to roles, generating resumes, sending outreach, updating pipeline. Gate-controlled: only activates on explicit user instruction. Presents a visibility table after every batch.

Maps your stories to interview rounds based on JD requirements. Generates per-round talking points, mock questions with scoring, and coaching notes based on personality profile. Say "prep me for [Company]" to generate a prep doc, or "mock interview for [Company]" to practice with feedback.

Writes calibrated outreach messages — forwardable emails in the champion's voice, LinkedIn DMs with proof-of-work hooks, time-appropriate follow-ups, and thank-you notes with specific conversation callbacks. Respects contact channel preferences. Use this skill whenever the user wants to contact, message, email, DM, text, thank, reconnect with, or ask a favor of any named person — even if they never say the word "outreach" (e.g. "can you ping Sarah about the role", "I should reply to Mike", "ask Priya for an intro"). Say "write outreach for [Contact]" or "follow up with [Contact]".

JD-specific resume customization with ATS optimization, multi-track support (Engineering Leader, Innovator, Executive), and automated QA gates. Writes to Resumes & Cover Letters/. Say "customize resume for [Company]".

The Master Planner. Initiates campaigns, defines the core thesis, builds the Surface Coverage Matrix, and delegates the actual drafting and sequencing to the Platform-Specific Modules to ensure algorithmic rules are decentralized.

The orchestrator for xOS content distribution. Coordinates platform-specific modules, enforces The Scraping Invariant (protecting human trust), and ensures campaign spokes are distributed according to the Kinetic Learning loop.

Week 1 onboarding wizard for new Brand Amplification Engine (BAE) users. Interviews the user across 3 areas (brand identity, platform handles, distribution topology), then generates the 4 required context files BAE needs to run. Cross-session memory baked in from day one — the user never re-explains who they are.

Brand amplification home screen for BAE customers. Shows INITIATIVES (strategic themes) rolled up with their member CAMPAIGNS (individual ship events) and SPOKES (per-platform posts). Read-only — never writes; routes edits to campaign-engine and distribution-analytics-engine.

The Kinetic Learner. Connects engagement data back to the Master Engine. Responsible for the Global Channel Value Directory and aggressive channel pruning.

Specialized skill for mastering LinkedIn distribution. Encapsulates LinkedIn's algorithmic rules, manages Groups, and ensures optimal Comment Cascade execution.

LinkedIn Groups discovery + distribution spoke. Phase 1: finds right groups for user's content pillars, scores them, writes approved groups to social-channel-directory.md. Phase 2: treats linkedin_group as a distribution spoke type with 7-day cooldown enforcement and discussion-framing rules.

Specialized skill for mastering Reddit distribution. Heavily emphasizes The Scraping Invariant and anti-spam protocols due to strict Reddit moderation.

Specialized skill for Facebook distribution. Acts as a Spoke for network amplification.

Specialized skill for Instagram distribution. Manages visual hooks, Carousels, and Story mechanics to drive traffic.

Specialized skill for Threads distribution. Short-form text amplification Spoke.

Specialized skill for Substack, the "Honey Pot" and source of truth for long-form content. Enforces the Irreversible-Action Invariant strictly.

Full dev pipeline: spec (optional) → build → release → install. Chains all dev skills in sequence with directory guards. Runs from $CAREER_OS_PLUGIN.

Installs or updates the Career OS plugin from GitHub. Handles auth, validates install, confirms plugin is ready.

Two modes: (1) full job scan with deep warm-path detection, and (2) warm-path enrichment on existing scan results. Reads targeting from config, scans LinkedIn + ATS, fetches JDs, detects 1st/2nd-degree warm paths, and writes scan reports + pipeline updates.

Standalone job-match scoring skill. Takes roles from scan reports or manual input, evaluates them against your skills matrix, stories, and identity using the 6-category weighted decision engine, and writes scored results to job-pipeline-match-tracker.json. Separated from scanning because scoring requires deeper judgment (Opus-level). Triggers: "score these roles", "score jobs", "match score", "how well do I match", "rate this role", "score the latest scan", "run the decision engine".

Auto-fires when apply-tracker advances a role to "Panel Scheduled" or "Screen → Interview". Spawns parallel research sub-agents per interviewer, producing a per-interviewer dossier (background + likely questions + user stories to prepare + watch-outs). Output to INPUT/{company-slug}-{date}-prep-dossier.md. Read-only on brain layer; writes to INPUT/.

Bulk file ingestion and self-evolving memory organization using relationship discovery. Auto-discovers relationships between stories, adds YAML frontmatter, regenerates indexes. Works incrementally — safe to run multiple times.

Reconciles data across Career OS's three core surfaces: job-pipeline.json (stage detail + referrals), job-pipeline-match-tracker.json (status + scoring), and GitHub Issues at $CAREER_GITHUB_REPO (action items — replaces Tasks.md as of v0.25.0). Detects drift between surfaces, propagates updates, and ensures row counts and statuses are consistent. Use whenever data feels out of sync, after bulk operations, or on a schedule. Triggers: "sync pipeline", "reconcile", "data health check", "pipeline audit", "fix pipeline", "are my files in sync".

Real-time skills matrix updates. Adds, modifies, or marks stale any skill in the user's skills-matrix.md. Activates when the user mentions learning a technology, disputes a gap flagged by the job-match-scorer, or asks to update their skills profile. On gap closure, offers to re-score affected pipeline roles. Owns all writes to: identity/skills-matrix.md (xOS primitive) via brain.write().

Real-time career story capture with STAR structure extraction, YAML frontmatter generation, and automatic STORY_INDEX update. Activates whenever the user shares a career narrative, wants to save an experience, or references past work worth preserving. Owns all writes to: career-intelligence/stories/*.md and career-intelligence/stories/STORY_INDEX.md via brain.write().

Diagnose MCP server availability for career-intelligence. Probes the MCPs this plugin needs (linkedin-community, playwright-ms, optional browserbase or chrome-devtools-mcp), reports which are installed/auth-configured/working/missing, and surfaces install commands for each missing one.