32 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 32 plugins that match these filters.
claude-code-skillsalirezarezvani/claude-skills2
skillstimharris707/skills2
90n-skillspolar-bear-org/claude-skills1
wicked-gardenmikeparcewski/wicked-garden1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplacePer-deal-and-packaging Commercial domain. v2.8.0 ships 8 skills: orchestrator + pricing-strategist (model picker + Van Westendorp WTP + packaging) + deal-desk (deal scorer + discount approval routing + redline) + partnerships-architect (5-tier classifier + joint GTM + revshare modeler) + channel-economics (cost-to-serve + ROI + mix optimizer) + commercial-policy (data-backed discount matrix + exception flow + linter) + rfp-responder (Shipley structured RFP/RFI/RFQ + win-theme + winrate predictor, context: fork) + commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Hard rules: pricing outputs model+range (never a single number), deal outputs route to named human approver (never auto-approve), forecast outputs surface conversion assumption, RFP never invents claims for GAP requirements. 21 stdlib Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic), fi
Adversarial roleplay: simulate the specific hostile reader you fear — opposing counsel attacking your contract, the VC partner meeting after you leave the room, a consumer-protection investigator reading your claims, the customer who quietly churns, and the acquirer's red team chipping your price. Each produces the adversary's real artifact plus an out-of-character debrief with fixes.
Answer questions about past agent runs from the recording, not from memory. Three read-only stdlib scripts over the session transcripts Claude Code and Codex already write: a finder that locates the run by repo, time window, touched file or command text; a timeline that numbers every step with its exit code, lists every file changed (flagging changes the agent never mentioned) and walks back from any step with each causal edge labelled recorded or inferred by a named rule; and a claim checker that tests a summary's claims (ran, passed, edited, not-edited, read) against the run and catches tests that passed before a later edit and exit codes that belong to the last command of a pipe. Secrets are always redacted. A UserPromptSubmit hook gives the agent this session's transcript path when a prompt asks about past work. Ships cs-run-forensics agent, /cs-run-forensics and /cs-check-claims commands and 3 cited references.
Insurance professional skills: claims triage with coverage-trigger checks, underwriting file narratives, pre-renewal reviews, and risk-register coverage-gap analysis — analytical support for claims handlers, underwriters, and brokers.
12 Claude Skills for an employer brand a joiner's first week does not disprove: the listening round, the peer-claims map, the evidence base, the EVP as Give and Get pairs, the careers page, the job ad, the realistic preview, a colleague's own post, a quarter of hiring content, measures that work at six hires a year, the first-weeks promise check, and the quarterly review.
productivitySingapore and Malaysia: CPF and EPF (KWSP) explained and checked against payslips, Singapore Employment Act entitlements and claims, and 新马华文 business writing with local terms and bilingual versions
Chinese content platforms: 小红书 notes, 公众号 articles, 抖音 short-video scripts and live-commerce (直播带货) scripts, each with a compliance check against restricted advertising claims and undisclosed sponsorship
Sustainability & ESG skills allergic to greenwash: GHG inventory sanity checks, CSRD/ESRS-flavored disclosure drafting, climate risk assessment (physical + transition), and a greenwashing self-audit that grades your claims before someone else does.
Your coding agent already plans and swarms — Wicked Garden is the curated toolkit for what it can't: proof-not-claims gates, code links grep can't see, deterministic refactor, cross-session memory, multi-model second opinions (fallback seats labelled). Don't fight the harness; fill its gaps. The gate needs wicked-vault (a self-contained infra peer, installed directly) and re-derives through garden's built-in engine; estate/bus are opt-in layers (wicked-testing and wicked-brain are retired — QE ships in-catalog as the qe domain, memory lives in wicked-estate).
Fastest ledger for agents. Built for businesses, finance teams, and accountants. IFRS-first, multi-currency, multi-user by default. Invoicing, bills, payments, quotes & orders, bank reconciliation, fixed assets, inventory, expense claims, tax, reports, and period close, all available for read and write. MCP tools load only when needed, so your agents stay lean and fast. Skills add migration from Xero, QuickBooks, Sage, and MYOB, close playbooks, financial calculators, Singapore Form C-S, and Jaz Kit for running many organizations. Works with Claude Code, Codex, Copilot, Cursor, and any MCP-compatible agent.
Post-hoc verification and trust audit of AI-generated factual and interpretive claims. Classifies claims by type and salience, routes them to domain-appropriate sources, scores trustworthiness on a tiered scale with an Interpolated verdict for plausible-but-unsupported detail, and assesses rhetorical fairness on interpretive claims. Designed with a focus on healthcare law in England and Wales, but with general applicability beyond.
Reviews or drafts the agreement that pays an employee to settle their claims — and flags the statutory conditions that decide whether it actually binds them. Works under s.203 ERA 1996 for England & Wales. Flags apparent s.203 condition gaps for a solicitor to confirm (writing, specific complaints, independent adviser, identification, insurance, statement of conditions), drafts the substantive terms (sum, tax characterisation, confidentiality, references, restrictive covenants, indemnities), and surfaces enforceability risks. Does not rule on validity and is not legal advice. Use when the user says 'review this settlement agreement', 'draft a settlement agreement', 'compromise agreement' (old term), or asks whether an agreement is binding.
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progressive complexity scenarios. Use when: (1) Demonstrating AI-powered legal triage or intake systems, (2) Showcasing responsible AI-assisted client interactions, (3) Training staff on appropriate AI use in legal contexts, (4) Creating realistic scenarios for legal tech presentations, (5) Developing educational materials about AI in legal services, or (6) Testing AI-powered legal information systems in controlled environments.
Produces an adversarial attack on a legal argument that survives reply. Runs the opposing-counsel discipline twice: an unrestrained first pass, then the same instrument turned on that pass to cut every point that collapses under challenge - attacks on facts your own side has conceded, objections belonging to the wrong forum, speculation about documents and motives, gotchas with innocent explanations, overclaims, self-refuting assertions, and padding. The deliverable is one standalone attack containing only what can be defended, capped at five heads, not a discussion of the discarded draft. Use to attack, stress-test, red-team or rebut a submission, brief, motion, witness statement, letter or piece of structured legal reasoning when the output must be something you could stand up and say. Also use when an earlier adversarial review came back overlong, scattershot or padded with points you do not trust. Derived from Opposing Counsel Review by Larissa Meredith-Flister (Apache-2.0). Formal
Verifies claims about designs and code: facts against the source, behaviour as an executable model, plus structure review and baseline diffs.
Mandatory external verification workflow for ALL non-trivial factual claims before presenting them as true. This skill MUST be used whenever Claude is asked to research any topic, answer factual questions, provide current information, draft documents containing factual claims, give legal advice or cite legal authority, discuss current events or public figures, provide technical or scientific information, state statistics or data points, or answer ANY question where the answer could have changed over time. Also trigger when the user asks Claude to 'check', 'verify', 'confirm', 'research', 'look up', or 'find out' anything, or when the user needs information that requires freshness, precision, or source accuracy. This skill overrides any default tendency to answer from memory. If a task involves stating facts, citing sources, or providing current information — use this skill.
AFA design, scope-to-fee matching, negotiation preparation, health check, and scope dispute assessment for in-house legal ops teams managing outside counsel arrangements. Design fee structures (fixed, capped, collar, blended, phased, success). Assess whether scope supports a proposed AFA. Prepare commercial positions for fee negotiations. Review existing AFAs against delivery data. Assess OOS claims and build dispute response. Trigger on: 'structure the fee', 'move off hourly', 'design an AFA', 'does scope support a fixed fee?', 'negotiate the fee', 'renegotiate the arrangement', 'is our AFA holding?', 'fee health check', 'cap is being approached', 'firm is claiming OOS', 'is this in scope?', 'is this OOS?', 'AI should reduce the cost', 'blended rate vs fixed', 'collar arrangement', 'phased fees'.
The five-skill discipline loop for long-running agent work: freeze a task's scope into a workorder, gate sensory output behind human review, log decisions so they survive a context reset, hand off state when work changes hands, and close out with evidence instead of claims.
productivityDecode an agent message that didn't land — a plain-sentence restatement, every piece of invented shorthand expanded, what's being asked of you separated from what happened, and unevidenced claims flagged.
Write like a person in everything the agent emits: plain words, concrete claims, no AI tells. Always on for chat replies, status updates, close-outs, review comments, and commit messages; owns the repo's single merged tell catalog behind a pointer.
