Claude Skills by anajuliabit

One-shot composite investigation of a Base token — runs rug-scan, contract-audit, deployer-trace and holder-concentration and merges them into a single report with an at-a-glance verdict. Keyless core; a Basescan key deepens it.

Cleanup of accumulated temp files — .notify-* root-level files, .pending-notify-temp/, and stale .outputs/ chain artifacts older than their TTL

Cluster addresses likely controlled by the same entity on Base via shared-funder and co-spend heuristics. Keyless — no explorer key needed.

Emit a LiquidPad token deploy payload through the prefetch/postprocess shim pair. Routes 80% fees to deployer, 15% to LPAD burn, 5% to LIQ buyback, contract-enforced.

Resolve a token's main liquidity pool on Base and classify whether its LP is burned/locked or removable (rug-pull risk). Keyless — no explorer key needed.

Tracker for the Model Context Protocol (MCP) ecosystem — new server implementations, adoption velocity, npm/GitHub signals, and protocol evolution. Thesis check — is MCP becoming the default tool-call rail for agents?

Detect and collapse structural duplicate rows in MEMORY.md — sections like Recent Articles and Skills Built that accumulate multiple content blocks across memory-flush cycles. Companion to scripts/memory-dedupe (topic-pointer dedup); this handles section-level row accumulation and duplicate H2 headings (the same section heading appearing 2+ times in the file).

Monitor external web and social mentions of the operator's active projects — surface what people are discovering, where they're confused, and where to engage

Progress tracking for key product and growth milestones — celebrates crossings, alerts on approaches, surfaces stalls

Cross-skill signal detector — finds entities or themes surfaced independently by 3+ different skill categories within 48h and surfaces them as high-confidence write opportunities

Find the one paper you should read today from Hugging Face Papers

Detect suspected manipulation on prediction markets over the past 3 days by cross-referencing price/volume/comment anomalies with multilingual local-press coverage

Prediction-market & coordination-market tracker — volume on tracked platforms, new mechanism designs, reflexive market launches, regulatory moves

Top trending Polymarket markets and the most interesting comments from them

Survey of open external PRs across watched repos — buckets each PR by touched-file risk tier (FAST_TRACK / INFRA_REVIEW / SKILL_PASS / SKILL_WARN_OR_BLOCK / CORE_REVIEW), runs skill-scan on every SKILL.md PR, emits one structured digest so the operator can clear the safest candidates first

Auto-review open PRs with severity-tagged findings, inline comments, and a one-line verdict

Track status of cross-repo PRs opened by this aeon instance — merges, stale open, and closures

First-touch triage for external pull requests — verdict + label + welcoming comment within minutes of open

Fire when the tracked token does something — new ATH, sharp 1h move, or operator-set target crossed. Silent on normal days.

Draft the full Product Hunt launch asset package (tagline, description, first comment, maker comment, six-bullet feature list) from live repo state — operator reviews and submits.

Write an article about the project through a surprising lens — connecting it to current events, trends, philosophy, or comparable projects

Daily deep-dive recap of all pushes — reads diffs, ranks impact, separates user-visible shipments from internal work, delivers a verdict

Lifecycle check on submitted private vulnerability reports — polls triage state, detects maintainer acceptance or rejection, surfaces action items when PVRs age past 30 days with no response

Probe of repos on the security watchlist — check if private vulnerability reporting has been enabled, notify when status flips, re-submit any queued advisories or flag for re-research when draft was lost

Detect cross-subreddit narratives — stories surfacing in multiple unrelated subs at once

Review recent activity, consolidate memory, and prune stale entries

Fetch a tracked X/Twitter account's latest tweets, cluster them, and save a decision-ready gist to memory

Track legislation, regulatory actions, and legal developments affecting prediction markets, crypto, and AI agents — triaged by stage × impact for decision-ready output

Fetch ~30 older tweets, pre-filter for remixability, then produce 10 new rephrased versions across diverse strategies with post-write quality gates

Generate two reply options for 5 tweets from tracked X accounts or topics

Generate 5 anchored, implementable action ideas for a watched repo — specificity-gated, priority-ranked, with a Top Pick verdict

Thesis-driven article about a watched repo — falsifiable claim, cited evidence, self-edit quality gate

Daily report on new stars, forks, and releases for watched repos — with notable-stargazer enrichment and a one-line growth verdict

Pick the highest-★ dormant watched repo and make one targeted improvement to reactivate it — refresh stale model references, README, or metadata

Catalog GitHub repos into a prioritized fleet report with concrete, coded opportunities that downstream skills consume directly

Deep dive on a topic with a falsifiable thesis, cited claims, and explicit uncertainty

Fetch, summarize, and deliver RSS feed highlights

Generate an Atom XML feed from articles, validate it, and notify only when it actually changes

Assess rug-pull risk for any token on Base — ownership, mint/freeze powers, LP lock, and holder concentration rolled into one risk verdict. Keyless via Etherscan v2 + Base RPC.

Real World Asset tokenization momentum tracker — surfaces new protocol launches, TVL milestones, institutional adoption, and regulatory approvals

Schedule paid ads across Meta/TikTok/Snapchat/Pinterest/LinkedIn via the AdManage.ai API, driven by a declarative config file. Launches PAUSED by default — never auto-activates live spend.

Search the open agent skills ecosystem for skills that fill a real gap and install them via the native add-skill path

Lead with confirmed exploitation (CISA KEV), enrich with EPSS, filter GitHub Advisories to your tracked stack, output one action per item

Improve the agent itself — better skills, prompts, workflows, and config based on recent performance

Draft a Show HN post (plus shorter Reddit r/MachineLearning + r/selfhosted variants) from the live repo state — README, SHOWCASE, recent repo-articles + project-lens, real autonomous behavior examples from logs, and current stars/forks/skill counts. Operator pastes; agent writes.

Accountability check on a configured set of tracker skills. Verifies each tracker is producing citable signals in articles/newsletters. Surfaces uncited trackers so the operator can demote or kill them.

Fleet skill-adoption leaderboard — per-slug count of how many POWER+ACTIVE forks have each upstream skill enabled, top-15 most-adopted and bottom-15 least-adopted by fleet penetration, silent when nothing moves

Weekly fleet-level skill-run analytics — ranks skills by 7d run count, surfaces success rates, exit-taxonomy distribution, and anomaly flags (significance-gated)

Flip enabled:false → enabled:true for a comma-separated list of skill slugs in aeon.yml — validate against skills/, fail loudly on already-enabled or missing slugs, commit, open a PR with per-skill rationale

Validate skill outputs against assertions, diff vs prior eval to flag regressions, file issues for new failures, and queue concrete fixes