Run a reusable external research spike: tighten a topic into parallel workstreams, fan out web-research agents, synthesize findings, and save durable artifacts under docs/research-spike/.
0 on GitHubby Dallan Bakerv1.0.0MITupdated 2 days agoresearch
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Plugin research-spike from marketplace auxilia in bakerwebsolutions/auxilia. Commands read from the repo's manifest — 2 days ago.
What it installs
Skills (1)
research-spike
Run a reusable external research spike. Tighten a broad topic into a few high-signal workstreams, fan out parallel web-research agents, synthesize the findings, and save durable artifacts to docs/research-spike/<date>-<slug>/. Use for competitor scans, UX pattern research, pricing/monetization analy
A task router: detect the task type (research · design · implement · debug · review · optimize) and run a pre-curated, model-tiered workflow — a shared prelude that unblocks a parallel fan-out (Sonnet builds, Haiku scouts), then a convergence. Opus orchestrates by default, swappable to Fable. Ships the /orchestrate router, an /orchestrate-workflows companion, pre-tiered subagents, a SessionStart doctrine, and layered repo+user config.
Write customer-facing copy (landing pages, service pages, ad pages) that doesn't read as generated: gather a fact sheet and voice sample first, draft with placeholders instead of filler, fit search/ad basics, then run a fresh-context reviewer for AI tells and unsupported claims.
Write a self-contained prompt that lets a fresh session pick up the current work cold: goal-driven extraction with verified/unverified claims, dead ends, and a first step. Saves to a collision-free file in /tmp or a repo-configured directory and copies it to the clipboard.
Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and 5+ more sources. AI agent scores by upvotes, likes, and real money - not editors.
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5 skills · 3 commands · 1 agent
wshobson/agents 42,461
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