Loading...
Loading...
Found 204 Skills
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
Filter an existing audience or lead list against your ICP and split it into ready-to-sequence segments. Use when someone already has a list of people — an audience in their sales tool, a CSV or CRM export, event or webinar attendees, registrants, a Sales Navigator import, a newsletter or community export — and wants to know who is worth contacting. Triggers on: 'filter this audience against my ICP', 'who in this list matches my ICP', 'clean up this lead list', 'score these leads', 'qualify my signups', 'segment this audience', 'is my audience on-ICP', 'filter my webinar attendees', 'split this audience by ICP fit', 'remove the bad leads'. For SDRs, BDRs, RevOps, growth, demand gen and founders doing list qualification, ICP refinement, post-event follow-up or audience cleanup. Checks whether the data can support the ICP before filtering, sorts every lead into ICP match / needs review / no match, strips out your own team and competitors, and never silently drops anyone. Maintained by La Growth Machine.
Generate your Weekly Performance Advisor dashboard from your La Growth Machine data: a two-tab cockpit (To do + Weekly performance) that flags campaigns to fix, sorts replies by urgency, and tracks reply volume week over week. It pulls only YOUR live LGM data, scores each running campaign against baked 3-zone benchmarks, classifies your untagged replies, and renders a live artifact you can re-open every Monday. Use when the user wants a weekly outbound performance dashboard, a Monday cockpit, campaign health at a glance, "how are my campaigns doing this week", "who do I need to reply to", or a reply-triage + campaign-health view. Triggers on: 'weekly performance dashboard', 'my outbound cockpit', 'weekly performance advisor', 'campaign health this week', 'how are my campaigns doing this week', 'my Monday cockpit'. First run does a short setup (detect + connect LGM, pick the identity, optional deal layer); every run after that just rebuilds the dashboard. Maintained by La Growth Machine.
Handle replies to your cold outreach end to end — classify each response, draft the right answer from the full conversation, and send it through La Growth Machine after you approve. Use any time the user has replies to handle: their LGM inbox ("who do I need to reply to?"), a campaign's replies, or a pasted thread. When a conversation is pasted and the user asks what to reply, this is the right tool — don't improvise a reply without it. Triggers on: 'reply to my inbox', 'who do I need to answer', 'handle my campaign replies', 'what do I reply to this', 'help me reply to this prospect', and the French 'à qui je dois répondre', 'réponds à mon inbox', 'réponds aux leads de ma campagne', 'aide-moi à répondre'. Reads the whole thread, classifies the reply, drafts one calibrated answer in the thread's language, shows them for review, and on approval sends via LinkedIn or email natively. Nothing is sent without your OK. For SDR, BDR, RevOps, Growth and founders. Maintained by La Growth Machine.
Descobrir e refinar linguagem ubíqua de domínio, invariantes, eventos, aggregates e bounded contexts a partir de cenários concretos, evitando anemic domain model. Use quando termos, regras ou ownership de dados estiverem ambíguos, dois times usarem a mesma palavra com sentido diferente, ou uma decisão de modelo for necessária; não criar documentação paralela à fonte autorizada; não use para decisão de infraestrutura ou deployment, use `$specsfy-specialist-software-architecture` para isso.
Write, audit, or improve an iOS App Store listing — app name, subtitle, keyword field, screenshots, app icon, preview video, tags, ratings strategy, localization, and featuring nominations. Use when creating or reviewing App Store metadata, doing keyword research, planning a metadata update, or when the user mentions ASO, App Store Optimization, app store listing, keywords, subtitle, screenshot captions, preview video, app icon, Liquid Glass, featuring, ratings prompt, or Apple Ads.
Activate this skill when users fall into "analysis paralysis" (want to act but dare not take action) or "blind action" (act without summarization or improvement). Typical trigger signals: "I need to finish my research before starting", "I don't know if I understand this industry well enough to start a business", "We've been doing things but have no methodology". Scenarios where it is not called: Scenarios where mature methodologies are already in effective operation, pure theoretical learning needs. Difference from "Seeking Truth from Facts Information Processing Method": This skill focuses on the complete cognitive cycle (practice - cognition - re-practice), while the latter focuses on specific techniques of information processing in a single cycle.
Reference: shared gap- and comment-tracker framework backing /regulatory-legal:gaps and /regulatory-legal:comments. Tracks open policy gaps with remediation status, ingests gaps from policy-diff, surfaces what's open and aging, routes to owners, and notifies gap owners via Slack with per-send confirmation. Loaded by the gaps and comments skills before doing substantive work.
Keep the AI policy current with practice — weekly sweep of saved AIAs, triage results, and vendor reviews to find policy drift, or direct query for a proposed new AI practice. Use when user says "policy sweep", "does our AI policy cover this", "we want to start doing X — does the policy need updating", "run the policy monitor", or on a recurring schedule.
Step-by-step camera-ready prep for accepted papers — the error-prone final stage before publication. Use when a researcher says "camera-ready", "final version", or "my paper got accepted, now what", or mentions ACM eRights / rights form / TAPS / ORCID / DOI block, IEEE PDF eXpress / conference ID / eCF copyright form / Xplore, OpenReview final upload, de-anonymization, or extra camera-ready pages. Resolves the venue's rail from a machine-readable profile and walks it end to end across ACM eRights, ORCID, rights/DOI block, TAPS source upload, IEEE PDF eXpress, conference IDs, file naming, eCF exact-title match, registration/no-show, NeurIPS-style [final] recompile, and OpenReview upload. Generates an ordered checklist with deadlines and +page rules, and lints the final .tex for leftover anonymization and missing rights blocks via bundled stdlib-only scripts. Advisory — it prepares, explains, and lints, but never completes a form or submits anything.
Searches scholarly literature with zero API keys across DBLP, Crossref, Semantic Scholar, and arXiv. Use when the user wants to find papers, search the literature, list a conference's proceedings (e.g. "all SIGSPATIAL 2025 papers"), survey related work on a topic, look up papers by author/venue/year, get DOIs or citation counts, or check recent arXiv preprints. Ships a venue-alias table that solves cross-API venue naming (DBLP "conf/gis" vs Semantic Scholar "SIGSPATIAL/GIS" vs Crossref proceedings titles) plus polite, cached, 429-resilient search scripts. Trigger words - find papers, literature search, related work, proceedings, DBLP, Crossref, Semantic Scholar, arXiv, citation count, DOI lookup, venue search.
Verifies every citation in a BibTeX .bib file against Crossref, DBLP, Semantic Scholar, and arXiv to catch hallucinated, fabricated, or incorrect references before reviewers do. Use when the user says verify citations, check references, validate bibliography, check my .bib, fake or hallucinated citations, retracted paper, or DOI check — and before any draft, rebuttal, or camera-ready leaves the machine. Flags unresolvable entries (likely fabrications), author/year/venue mismatches, duplicates, and retractions, and points to the canonical record for each fix. Every skill that writes or edits citations must route new references through this gate.