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概要と使いどころ
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
日本語の概要は準備中です。原文の説明を表示しています。
Wire dependency-cruiser into a TypeScript repo so each package is a deep module, with implementation hidden in subfolders and reachable only through its entry-point files. User-invoked.
日本語の概要は準備中です。原文の説明を表示しています。
Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.
日本語の概要は準備中です。原文の説明を表示しています。
"Solve the influence maximization problem to select optimal seed nodes for maximum information spread. Use this skill when the user needs to choose seed users for viral campaigns, maximize network reach under a budget constraint, or compare seeding strategies — even if they say 'who should we seed first', 'maximize viral reach', or 'optimal influencer selection'.".
日本語の概要は準備中です。原文の説明を表示しています。
Open the warm channel for a role the pipeline already assessed. Finds who the user already knows at the company, researches named targets from public professional presence when they know nobody, grades each path honestly, drafts the ask through the voice agent, and writes the contacts into the Referrals table in job_search.md.
日本語の概要は準備中です。原文の説明を表示しています。
End-to-end Gaia curation pipeline orchestrator. Routes each phase to its dedicated skill and keeps you on track from first discovery to closed intake. Use when starting a fresh curation run or when you want a single skill to hold the sequence together without duplicating each phase's instructions. Trigger phrases: "/gaia-full-pipeline", "run the full pipeline", "start a curation from scratch", "take this skill through the full pipeline", "curate end-to-end", "pipeline run", "full curation flow". Fused from: gaia-curate + gaia-curate-chain + gaia-curate-dynamic + gaia-curate-trending + gaia-bot-curate + gaia-draft-curate + ev-pipeline + gaia-ingest + gaia-intake-close.
日本語の概要は準備中です。原文の説明を表示しています。
Uses symbolic execution (angr) to solve constraint-based malware problems — finding inputs that reach a target branch, recovering keys/passwords from a check routine, and brute-forcing opaque predicates — by generating a ready-to-edit angr harness. Activates for requests to use symbolic execution, solve a malware unlock check with angr, or recover an input that reaches a code path.
日本語の概要は準備中です。原文の説明を表示しています。
Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.
日本語の概要は準備中です。原文の説明を表示しています。
Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work. Use for thermal-fluid systems, heat transfer, fluid mechanics, thermodynamics, HVAC, energy systems, turbomachinery, piping, multiphase flow, experiments, correlations, CFD, reduced-order models, AI/ML, uncertainty, engineering datasets, literature reviews, citations, manuscripts, reviewer revisions, Overleaf packages, figures, proposals, research software, reproducibility, public releases, engineering teaching materials, or a research-project logo and visual identity.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of an Engineering Teacher, Postsecondary — diagnosing a spike in a gatekeeper course's D/F/W rate, running a capstone design course with an industry sponsor, closing the loop on an ABET student-outcome assessment, or building a tenure/promotion teaching-effectiveness case beyond raw student evaluation scores.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of a tenure-track/tenured Education Professor in a teacher-preparation program — designing a licensure course unit against InTASC/CAEP standards, deciding whether a candidate's borderline edTPA score needs a targeted or full retake, triaging a failing student-teaching placement, or assembling CAEP self-study evidence for reaccreditation.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of an Economics Teacher, Postsecondary — designing an intro micro/macro sequence for a mostly-terminal non-major audience, diagnosing a miskeyed or poorly discriminating exam item, calibrating TA grading on graphical or free-response problem sets, or investigating a spike in homework answers matching an online solution bank.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of an Elementary School Teacher — interpreting a running record or fluency check against grade-level benchmarks, deciding whether a struggling reader needs a Tier 2 intervention, running a self-contained classroom's daily schedule across multiple subjects, implementing (not writing) an IEP/504 accommodation with fidelity, or writing a parent-conference summary grounded in assessment data.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of a Drilling and Boring Machine Tool Setter, Operator, or Tender — deciding whether a hole's depth-to-diameter ratio requires peck drilling, establishing a straight hole start before wander compounds, reducing cutting parameters for a long-reach boring setup versus a short-reach one, or diagnosing whether a dimensional drift traces to tool wear rather than assuming the tool still looks sharp.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of a Career/Technical Education (CTE) Secondary School Teacher — deciding whether a student is authorized to run a piece of shop equipment, diagnosing a Perkins V industry-credential attainment gap, placing a student into a work-based learning slot, resolving an articulation-credit dispute with a partner college, or triaging a CTSO competition-prep versus baseline-instruction time conflict.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of a Criminal Justice and Law Enforcement Teacher, Postsecondary — grading or defending a crime-trend assignment that must distinguish rate from raw count, mapping a CJ curriculum against ACJS certification standards or a state POST lesson-plan hour requirement, screening a student research protocol involving parolees, probationers, or incarcerated subjects for IRB Subpart C, or setting the liability and confidentiality terms for a ride-along or corrections practicum placement.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of a Communications Teacher, Postsecondary — designing or norming a multi-section basic public-speaking course, resolving a cross-rater grading discrepancy on a speech rubric, screening for and accommodating communication apprehension, or choosing a rhetorical-criticism method for a media-analysis assignment.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of a Postsecondary Chemistry Teacher — grading a lab report where the numeric result misses the "expected" value but the methodology is sound, distinguishing a conceptual misunderstanding from an arithmetic slip on a problem set, deciding how much procedural freedom to give students on an open-ended lab, or vetting whether a demo/lab procedure is safe to run in this specific room.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of a Career/Technical Education Teacher, Postsecondary — defending a shrinking trade or health-science program against a cutback decision, backward-mapping a shop or lab curriculum to an industry credential's exam blueprint, resolving a competency-based grading dispute where a passing average hides a failed safety check-off, or setting the terms of an advisory-committee review or work-based-learning placement.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a task needs the judgment of an Architecture Teacher, Postsecondary — running studio desk crits and final jury reviews, grading design work on process and constraint-response rather than rendering polish, separating a personal design-style opinion from an objective functional or code flaw during critique, and checking whether a studio brief's precedent set is stale relative to current construction and code practice.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluate edtech tools for their real impact on teacher time and administrative burden.
日本語の概要は準備中です。原文の説明を表示しています。
Build a candidate sourcing strategy and outreach pipeline. Use when the user says "where do I find candidates for this role", "build a sourcing plan", "write a cold outreach message", "we're not getting enough applicants", "our pipeline is dry", "help me find passive candidates", "write a LinkedIn message", or wants to increase the volume or quality of candidates in the funnel - even if they don't explicitly say "sourcing strategy". Also use when a recruiter needs to go beyond job postings to find talent.
日本語の概要は準備中です。原文の説明を表示しています。
Write multi-email nurture sequences for lead-gen, onboarding, re-engagement, sales, and lifecycle marketing using the Hook Model (Nir Eyal) to architect the sequence arc and PAS (Problem-Agitate-Solution) to structure each email body. Use when the user asks for an email sequence, drip campaign, nurture flow, onboarding emails, re-engagement campaign, "write 5 emails for X", welcome series, or any multi-step email program. Reads brand voice and ICP from knowledge/. For a single cold outreach email, see pr-pitch-writer. For the newsletter, see newsletter-writer. For testing subject lines, see ab-copy-writer.
日本語の概要は準備中です。原文の説明を表示しています。
Take one piece of long-form content (blog post, podcast, talk, article, newsletter) and turn it into a multi-channel asset pack using the STEPPS framework (Jonah Berger, Contagious) to make each derivative asset more shareable. Use when the user says "repurpose this", "turn this into LinkedIn/Twitter/etc", "atomize this", "break this down for social", "create derivative content from X", "make a content pack from this", or wants to maximize output from one input. Each channel is mapped to its strongest STEPPS element. Orchestrates linkedin-post, content-writer, and other skills. For writing the original anchor piece, see thought-leadership-writer or newsletter-writer. For scheduling the derivatives, see social-calendar.
日本語の概要は準備中です。原文の説明を表示しています。