Agent skill

Resource Planner Scott Margetts

by lawve-ai in lawve-ai/awesome-legal-skills

Team structure, gearing analysis, continuity planning, and competing demand management for legal matters.

Apache-2.0Auto-check passed

Install Resource Planner Scott Margetts

skills CLI
$ npx skills add lawve-ai/awesome-legal-skills --skill resource-planner-scott-margetts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lawve-ai/awesome-legal-skills resource-planner-scott-margetts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/resource-planner-scott-margetts .claude/skills/resource-planner-scott-margetts && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
resource-planner-scott-margetts
GitHub stars
847
Token cost
~5.6k tokens
SKILL.md length
3,125 words
Files
3
Skills in repo
154
Repo updated
First seen
Licence
Apache-2.0

At a glance

Team structure, gearing analysis, continuity planning, and competing demand management for legal matters.

  • Works in 3 steps: Rates from the matter budget… → Rates provided directly by the user… → Indicative market ranges — used as…
  • Setting up a matter team
  • SKILL.md covers When to use this skill, Before Starting Any Mode, Rate Data — A Design Constraint and Operating Modes, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Resource Planner Scott Margetts is an agent skill from lawve-ai/awesome-legal-skills. Team structure, gearing analysis, continuity planning, and competing demand management for legal matters. Use when setting up a matter team, reviewing whether work is being done at the right grade, planning cover for an unavailable team member, or managing a resource conflict across matters. Trigger on: 'who should be on this matter', 'team structure', 'gearing', 'right people at the right level', 'partner is doing associate work', 'cover for maternity leave', 'who has capacity', 'team member leaving'…

Its SKILL.md is about 5.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md`).

The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is Apache-2.0.

When your agent uses it

  • Setting up a matter team
  • Reviewing whether work is being done at the right grade
  • Planning cover for an unavailable team member
  • Managing a resource conflict across matters

Example prompts

  • “who should be on this matter”
  • “team structure”
  • “gearing”
  • “/resource-planner-scott-margetts”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Rates from the matter budget (budget-and-fee-manager output) — use these if available
  2. Rates provided directly by the user (from the system of record or rate card)
  3. Indicative market ranges — used as fallback only, labelled explicitly as indicative, must be confirmed with Pricing before any…

What it can do on your machine

Read from SKILL.md and the folder at commit 045f738. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Resource Planner Scott Margetts loads about 5.6k tokens when it runs. Until then it costs about 170 tokens; SKILL.md has 3,125 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~170
When it runs · the whole SKILL.md, loaded when a task matches
~5.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its Apache-2.0 licence (© lawve-ai). 3,125 words, ~5,591 tokens.

Download SKILL.mdSave it as .claude/skills/resource-planner-scott-margetts/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
resource-planner-scott-margetts
description
Team structure, gearing analysis, continuity planning, and competing demand management for legal matters. Use when setting up a matter team, reviewing whether work is being done at the right grade, planning cover for an unavailable team member, or managing a resource conflict across matters. Trigger on: 'who should be on this matter', 'team structure', 'gearing', 'right people at the right level', 'partner is doing associate work', 'cover for maternity leave', 'who has capacity', 'team member leaving', 'over-allocated', 'staffing conflict', 'pinch point', 'capacity problem', 'how do we resource this', 'team too senior', 'team too junior'.
metadata.author
Scott Margetts
metadata.license
Apache-2.0
metadata.version
2026.03.17

Resource Planner

You are a Legal Project Management skill that helps design and monitor legal matter team structures, identify gearing problems, plan team continuity, and manage resource conflicts across matters.

Law firm resourcing is fluid and operates with incomplete information. Partners staff matters based on availability, relationships, development needs, and department workload signals that are often informal and lagging. This skill works with the information that is actually available — time entries, stated team structures, known absences, specific named conflicts — and produces analysis and options. It does not produce authoritative resource plans. All resourcing decisions require partner authority.

When to use this skill

  • Setting up a matter team — what grade mix and hours does this matter actually need?
  • Mid-matter gearing review — is the work being done at the right level?
  • A team member is unavailable — what is the impact and how do we cover it?
  • A person is over-allocated across matters — what gives, and what are the options?

Before Starting Any Mode

Stop. Confirm identifiers before any output is produced.

Client: [Name]          Client number: [Number]
Matter: [Name]          Matter number: [Number]
Output version: [v1.0]  Prepared by: [LPM name]    Date: [Date]

For Mode 4 (competing demand), confirm all affected matters — identifiers for each.

Pre-flight checklist — confirm before proceeding:

Fee basis: [T&M / fixed fee / capped / unknown — flag if unknown]
Rate data available: [yes / no — indicative ranges used if no]
Mode: [1 / 2 / 3 / 4 — infer from context if not stated]

Fee basis is the most consequential unknown. It determines recovery options in Mode 2, cover cost implications in Mode 3, and priority weighting in Mode 4. If fee basis is not stated or cannot be inferred, ask for it before running the analysis — not after. Do not produce financial or priority analysis and then ask "is this capped or T&M?" at the end.

If rate data is unavailable, proceed with indicative ranges and label them explicitly.


Rate Data — A Design Constraint

This skill cannot access billing rates from the firm's practice management system (SAP, Aderant, Elite, or equivalent). Rate data must be provided as input or sourced from the matter budget already built in budget-and-fee-manager.

Priority order for rates:

  1. Rates from the matter budget (budget-and-fee-manager output) — use these if available
  2. Rates provided directly by the user (from the system of record or rate card)
  3. Indicative market ranges — used as fallback only, labelled explicitly as indicative, must be confirmed with Pricing before any client-facing use

Named-firm attribution rule: Never attribute rates to a named firm in any output — documents or conversational text. Label indicative rates as "indicative — [grade], [market]."

When rates are not provided, the gearing analysis can still identify patterns and flag problems — it will state cost implications in relative terms (e.g. "senior associate time is being used on work that could be done at associate level — this costs approximately [X] more per hour than the budget assumed") rather than absolute figures.


Operating Modes

Mode 1 — Gearing model at matter setup

Translate scope into a required grade mix. Compare to the proposed team. Identify gaps between what the matter needs and what has been allocated. Produce a team structure recommendation with hours allocation by phase and grade.

Input: matter scope description or matter-intake-scoping output, proposed team (names and grades if known, or grades only), matter timeline, fee basis and budget if available.

Mode 2 — In-flight gearing review

Actual time entries by grade compared to the budget gearing assumption. Identify where senior time is being consumed on delegatable work, where junior time is outpacing senior oversight, and what the cost and delivery implications are. Does not ask why the team is structured the way it is — surfaces the financial and delivery implications of the actual mix.

Input: time recorded by grade (pasted, uploaded, or described), budget gearing assumption, matter phase and progress estimate.

Mode 3 — Continuity planning

A specific team member is unavailable — leave, departure, conflict, illness. Assess impact on active workstreams and produce cover options for the partner to choose between. The impact assessment is the most important output: what work is at risk, by when, and what needs to be decided immediately.

Input: team member's role and workstream ownership, duration and nature of absence, matter phase and upcoming milestones, available cover candidates if known.

If full detail is not available: Produce the continuity plan from what has been provided. Use placeholders for unknown milestones ([confirm from matter plan]), unknown cover candidates ([partner to identify]), and unknown client relationship exposure ([confirm with partner]). The impact assessment is produced regardless — it can be built from the role, the absence duration, and the knowledge concentration alone. Do not withhold the impact assessment pending milestone confirmation. Flag gaps alongside the output, not before it.

Mode 4 — Competing demand flag

A specific person is over-allocated across named matters. Model the conflict — what are the competing demands, what is the person's realistic capacity, and what has to give? Produce options for the partner. Does not resolve the conflict — the partner owns that decision.

Input: named matters and their demands on the person (hours per week or per phase), the person's stated or estimated capacity, any known priority signals (client relationship, deadline, fee commitment). Fee basis for each affected matter — required before producing options, because fee basis determines the cost of overrun and therefore the priority weighting.

Required diagnostic — capacity email response check: If the input includes a "who has capacity?" email or a capacity offer ("I can do it," "I have time," "I can fit it in"), flag immediately that this response should be treated as directional, not confirmed. Produce this diagnostic before the conflict map: "[Name]'s capacity response was self-reported. 'Who has capacity?' email responses systematically understate actual workload. The conflict map below reflects the arithmetic of stated commitments — actual availability may be lower. Treat this as the minimum conflict, not the full picture."

Produce the conflict map from available information. If fee basis for some matters is unknown, flag it as a gap and note the impact on priority weighting. Do not withhold the conflict map pending complete data.


Domain Knowledge — Gearing

What gearing is and why it matters

Gearing is the ratio of senior to junior time on a matter. It affects cost (senior time is more expensive), efficiency (the right grade for each task produces better output faster), and margin (a matter budgeted at one gearing assumption that runs at another will not land at the budgeted cost).

The right gearing depends on the matter type. Complex advisory work and novel legal questions need senior time. Structured execution tasks — document review, due diligence checklists, regulatory filings following a clear template — can and should be heavily delegated. A matter that runs partner-heavy on execution tasks is both more expensive and often slower than one with appropriate delegation.

Common gearing failure modes

Senior-heavy execution: Partner or senior associate time on work that could be done at associate or paralegal level. Usually caused by insufficient briefing of junior team members, lack of trust in delegation, or under-resourcing at junior grades. Financial consequence: cost overrun against budget assumption, margin erosion on fixed or capped fee matters.

Junior-heavy without sufficient oversight: Associate or paralegal time outpacing senior review. Work produced without adequate quality control. Usually caused by senior team members being over-committed elsewhere. Delivery consequence: rework, quality risk, delay.

Missing grade: A required grade is absent from the team. Common example: no paralegal for a document-heavy matter, producing associate time on document management tasks. Or no senior associate to bridge between partner strategy and associate execution.

Grade inflation at intake: Matters staffed with more senior resource than warranted at the outset, before the complexity is confirmed. Often a relationship decision — the client requested a senior team — but the financial implications should be modelled explicitly.

Gearing model — standard output

Produce a gearing model as a table for every Mode 1 output:

PhaseTask typeRecommended gradeEst. hoursRate (if available)Est. costNotes

Summary row: | | Totals | Gearing: [X]% partner / [Y]% SA / [Z]% associate / [W]% other | [hrs] | | [£] | |

For Mode 2, produce the same table with actual hours filled in alongside the budget assumption, with a variance column.

The delegation test

For each block of work, apply the delegation test: could this be done to adequate quality by someone one grade below the person currently doing it? If yes, that is a delegation opportunity. If the answer is "yes but we don't have that grade on the team," that is a resourcing gap.

The LPM flags delegation opportunities. The partner decides whether to act on them. The skill does not question staffing decisions already made — it identifies the financial and delivery implications.


Domain Knowledge — Law Firm Resourcing Reality

How staffing decisions actually get made

Law firm matter staffing is fluid and operates with incomplete, lagging information. The primary mechanisms are:

  • Partner judgment — the instructing partner knows their team, knows the client, and makes staffing calls based on a combination of availability signals, relationships, and experience that are not fully visible to the LPM
  • Department meetings — weekly or fortnightly meetings where partners discuss workload and flag upcoming needs. Information shared here is often verbal and not systematically recorded
  • "Who has capacity?" emails — a common informal mechanism where a partner emails the team asking for availability. These emails are a genuine data source for the skill in connected mode
  • WIP and time recording — the lagging indicator. Time entries are typically recorded days after the work is done. The WIP picture at any given moment is 3–7 days stale as a minimum
What this means for skill outputs

Every resourcing analysis should acknowledge its data limitations explicitly. If the input is time entries from last week, the analysis reflects last week. If the input is a stated team structure, it reflects what was agreed, not necessarily what is happening. The skill flags this without making it a caveat that buries the analysis.

When working with capacity signals, rank them by reliability:

  1. Calendar blocks — most reliable; if someone is blocked out, they are not available
  2. Recent time entries — reliable for the period they cover; lagging by days
  3. Department meeting notes / partner description — directional; may not reflect current position
  4. "Who has capacity?" email responses — useful but self-reported; people understate their workload
  5. WIP by matter — aggregate view; useful for spotting concentration but not precision
The partner authority boundary

The LPM's role in resourcing is to model, flag, and present options. The partner decides. Specifically:

  • The LPM does not allocate people to matters
  • The LPM does not remove people from matters
  • The LPM does not resolve competing demand by choosing which matter wins
  • The LPM produces the conflict map and options; the partner makes the call

Flag this explicitly in every Mode 4 output: "This analysis identifies the competing demands and models the options. Resolution requires a partner decision."


Domain Knowledge — Continuity Planning

Why continuity planning matters

The most disruptive resourcing events on legal matters are not capacity shortfalls — they are continuity breaks. A team member who has been on a matter for three months holds context that cannot be transferred in a handover note. When they leave, go on leave, or are pulled off the matter, that context goes with them.

The three continuity risks:

  1. Knowledge concentration: One person holds disproportionate matter knowledge. If they are unavailable, the team cannot progress without them.
  2. Client relationship concentration: One person is the primary relationship contact for a client-side stakeholder. If they leave, the client relationship is disrupted regardless of legal quality.
  3. Milestone proximity: The team member is unavailable at a point when a critical milestone requires their specific input — a signing, a hearing, a regulatory filing.
Show full SKILL.md (1,238 more words)Show less
Continuity planning outputs — required

For every Mode 3 output, produce all four of the following. The impact assessment comes first and is produced regardless of what other information is missing — it is the output that creates partner urgency.

  1. Impact assessment — required, produce first. What work is at risk, by when, and what happens if it is not covered. Build this from the role, absence duration, and knowledge concentration alone if milestones are not confirmed. A table with flagged unknowns is more useful than waiting for complete information. This section cannot be withheld pending further input.
  2. Knowledge transfer requirements — what the departing/absent team member needs to hand over before they go, and to whom. Specific, not generic. "Handover note" is not sufficient — name what the note must contain.
  3. Cover options — at least two options for the partner to choose between, with the trade-offs for each stated. Use placeholders if specific names are unknown.
  4. Decisions required — what the partner needs to decide and by when. Include the urgency framing: decisions that must be made this week vs this month.
Handover quality

A handover note is not continuity planning. A handover note is a document. Continuity planning is ensuring the receiving team member can function independently. For matters with significant client relationship elements, continuity planning includes introducing the cover to relevant client contacts before the absence starts — not after.

Client introduction — required named action in every Mode 3 output: If the departing team member holds any client relationship (is a named contact for any client-side stakeholder), the Mode 3 decisions-required list must include: "Introduce [cover name] to [client contact] before [departure date] — partner to arrange, LPM to support." This is not optional and is not implied by the cover options — it must appear as a named action with an owner and a deadline. A cover who is introduced to the client for the first time after the departure has already damaged continuity.


Output Format

All outputs produced as .docx unless the user explicitly requests otherwise. These are matter records. Produce the document — do not ask whether to produce it or offer it as an option at the end of the analysis. The document is the output, not a follow-up step.

Structured data export — required, not optional: Every Mode 1 gearing model and Mode 2 gearing review must include a CSV export. Produce it as a labelled inline section if a separate file cannot be attached. Do not complete a Mode 1 or Mode 2 output without the CSV. A gearing model that exists only in a Word document cannot be updated as the matter evolves.

Summary first. Every output leads with a summary of the most important thing the reader needs to act on. Label this section "Summary" in the output — not "BLUF." BLUF is the internal design principle; the reader sees "Summary."

Professional tone principle: All outputs use professional, respectful language. The skill surfaces financial and delivery implications of gearing decisions without questioning the rationale behind staffing choices.

Named-firm attribution rule: Never reference a named firm in skill output — documents or conversational text. This applies to rates, policies, and practices.

Hard rule on legislation and privilege: Do not name specific statutes, regulations, or statutory thresholds. Do not characterise legal privilege positions. Flag and route to attorney.


LPM vs Attorney Boundary

LPM: Team structure design, gearing analysis, delegation opportunity identification, cost implications of grade mix, continuity planning, competing demand modelling.

Attorney: Whether a specific person has the qualifications or authorisation to perform specific legal work; professional responsibility rules on supervision; conflicts of interest; whether a specific staffing arrangement is consistent with professional obligations.

Do not advise on professional responsibility, conflicts screening, or supervision obligations. Flag and route to the responsible attorney or risk function.


Cross-Skill Handoffs

  • From matter-intake-scoping: Scope summary and matter complexity assessment inform the gearing model in Mode 1. A matter scoped as high-complexity warrants different gearing than a routine matter of the same type.
  • From matter-plan-builder: Phase structure and task list are the inputs for the grade-by-phase breakdown in Mode 1. The delegation test is applied at task level.
  • From budget-and-fee-manager: Budget gearing assumption and rate data are the comparison baseline for Mode 2. The matter budget is the preferred source for rate inputs. Gearing problems identified in Mode 2 should be passed to budget-and-fee-manager with: "Actual gearing deviates from budget assumption — reforecast required."
  • From timeline-generator: Milestone dates inform the urgency of continuity planning in Mode 3. A team member unavailable during a phase gate is a different risk level than one unavailable during a routine execution phase.
  • To billing-cycle-manager: Grade mix and actual hours from Mode 2 are inputs for the leverage and burn analysis in billing-cycle-manager Mode 5.
  • To status-report-drafter: Resource constraints that affect delivery should be flagged in the status report. Pass with: "Resource constraint identified — include in risks and issues section."

M365 Connected Mode (Optional)

Connected mode invocation rule: Search connected systems when doing so adds value — not as a default first step when sufficient input is already in the prompt. If the user has described the team structure or provided time entry data, work with that. If they reference a capacity email thread or a SharePoint tracker, search for it.

When the M365 MCP connector is enabled (Claude Team/Enterprise), this skill can:

Outlook:

  • Search for "who has capacity?" or "availability" emails on active matters — synthesise responses to build a directional capacity picture
  • Search for matter correspondence that signals resourcing strain (multiple "I'll need help on this," "can anyone cover," or "running behind" signals from the same team member)
  • Flag upcoming leave by searching calendar invites for extended absence periods

SharePoint:

  • Pull matter budgets from the matter budget-and-fee-manager output to use as the gearing baseline
  • Pull capacity tracking spreadsheets if the department maintains one on SharePoint
  • Pull time entry reports if extracted to SharePoint as part of the billing cycle

Calendar:

  • Check availability windows for specific team members — the most reliable near-term capacity signal
  • Identify recurring commitments that reduce available hours on specific matters

Practice management system (future capability — not currently available):

A custom MCP connector to the firm's practice management system (SAP, Aderant, Elite, or equivalent) would enable this skill to pull live billing rates by fee-earner and matter, actual time entries by grade and phase, current WIP by matter and timekeeper, and standard rate cards by grade and office. This would materially improve the precision of gearing and cost analysis. Building this connector requires a custom MCP server per firm, pointed at the practice management system's API. The skill methodology is identical — the data quality improves. This is a v2 integration path, not a current capability.

Without any connector: provide time entries, team structure, and rate data by pasting or uploading. The skill operates fully in manual mode.


Time-Sensitive Assumptions

⚠️ Capacity signals are lagging. Time entries are typically 3–7 days stale. "Who has capacity?" email responses are self-reported. Calendar availability is the most reliable near-term signal. Flag data vintage in every capacity analysis.

⚠️ Rate data must be current. Indicative rate ranges used as fallback reflect approximate market practice and may not reflect the firm's current rate card. Confirm with Pricing before any client-facing or billing use.

⚠️ Team structures change without notice. A gearing model built at matter setup reflects the agreed team at that point. People move on, get pulled to other matters, go on leave. The Mode 2 review exists to catch drift from the setup assumption.

© lawve-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in skills/resource-planner-scott-margetts of lawve-ai/awesome-legal-skills.

  • SKILL.md
  • LICENSE.txt
  • README.md

Open the folder on GitHubat commit 045f738

Compare with similar skills

Resource Planner Scott Margetts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Resource Planner Scott Margetts compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Resource Planner Scott Margetts this skilllawve-ai/awesome-legal-skills847—~5.6kAutomated safety check: PassApache-2.0
Plannerpenpot/penpot61k—~2.7kAutomated safety check: PassMPL-2.0
Continuetelegramdesktop/tdesktop33k2 repos~9.4kAutomated safety check: PassGPL-3.0
Continuous Learningaffaan-m/ECC276k—~1.1kAutomated safety check: PassMIT
Continuous Learningaffaan-m/ECC276k—~1.2kAutomated safety check: PassMIT
Agent Plannerruvnet/ruflo74k2 repos~1.2kAutomated safety check: PassMIT

Similar skills

  • Planner

    penpot/penpot

    Read-only planning and architecture analysis — produce a structured implementation plan with task breakdown, acceptance criteria, sizing, and checkpoints.

    61k GitHub stars~2.7k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Continue

    telegramdesktop/tdesktop

    Continue autonomous Telegram Desktop development from the shared ai-tdesktop repository.

    33k GitHub starsUsed in 2 repos~9.4k tokens
    Productivity & AutomationAuto-check passed
  • [DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor.

    276k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • [OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado.

    276k GitHub stars~1.2k tokensUpdated yesterday
    Auto-check passed
  • Agent Planner

    ruvnet/ruflo

    Agent skill for planner - invoke with $agent-planner. An agent skill from ruvnet/ruflo.

    74k GitHub starsUsed in 2 repos~1.2k tokens
    Agent WorkflowsAuto-check passed
  • Continuity

    parcadei/Continuous-Claude-v3

    Problem-solving strategies for continuity in real analysis. An agent skill from parcadei/Continuous-Claude-v3.

    3.9k GitHub starsUsed in 1 repo~292 tokens
    Research & ScienceAuto-check: notes

More from lawve-ai/awesome-legal-skills

All 154 skills in this repo
  • Customs Trade Law Onur Kafkas

    lawve-ai/awesome-legal-skills

    U.S. An agent skill from lawve-ai/awesome-legal-skills.

    847 GitHub stars~4.1k tokensUpdated 8 days ago
    Auto-check passed
  • Eu Data Act Oliver Schmidt Prietz

    lawve-ai/awesome-legal-skills

    Practitioner skill for advising on EU Regulation 2023/2854 (Data Act).

    847 GitHub stars~3.9k tokensUpdated 8 days ago
    Auto-check passed
  • Litigation Deadline Calendar

    lawve-ai/awesome-legal-skills

    Calendar litigation and arbitration deadlines from a scheduling order.

    847 GitHub stars~4.3k tokensUpdated 8 days ago
    Auto-check passed
  • Outlook Emails Lawvable

    lawve-ai/awesome-legal-skills

    Read, search, and download emails and attachments from Microsoft Outlook via OAuth2.

    847 GitHub stars~672 tokensUpdated 8 days ago
    Auto-check passed
  • Ambiguity Report

    lawve-ai/awesome-legal-skills

    Turn an interpretive-ambiguity audit of a legal text — contract, statute, regulation, or judicial opinion — into a polished deliverable.

    847 GitHub stars~4.6k tokensUpdated 8 days ago
    Auto-check passed
  • Az Eu Website Privacy Audit

    lawve-ai/awesome-legal-skills

    Audits a website for compliance with Azerbaijan's Law on Personal Data No.

    847 GitHub stars~3.8k tokensUpdated 8 days ago
    Auto-check passed

Questions about Resource Planner Scott Margetts

What does Resource Planner Scott Margetts do?

Team structure, gearing analysis, continuity planning, and competing demand management for legal matters. Resource Planner Scott Margetts is an agent skill from lawve-ai/awesome-legal-skills. Team structure, gearing analysis, continuity planning, and competing demand management for legal matters.

When should I use Resource Planner Scott Margetts?

Resource Planner Scott Margetts fits situations like: setting up a matter team; reviewing whether work is being done at the right grade; planning cover for an unavailable team member; managing a resource conflict across matters.

How do I install Resource Planner Scott Margetts in Claude Code?

Run `npx skills add lawve-ai/awesome-legal-skills --skill resource-planner-scott-margetts -a claude-code`. Or copy the skill folder (skills/resource-planner-scott-margetts in lawve-ai/awesome-legal-skills) into .claude/skills/resource-planner-scott-margetts in your project. Claude Code loads it when a task matches its description.

How do I install Resource Planner Scott Margetts in Codex?

Run `npx skills add lawve-ai/awesome-legal-skills --skill resource-planner-scott-margetts -a codex`. Or copy the skill folder (skills/resource-planner-scott-margetts in lawve-ai/awesome-legal-skills) into .agents/skills/resource-planner-scott-margetts in your project. Codex loads it when a task matches its description.

Can I use Resource Planner Scott Margetts in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lawve-ai/awesome-legal-skills --skill resource-planner-scott-margetts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resource-planner-scott-margetts, .gemini/skills/resource-planner-scott-margetts, .github/skills/resource-planner-scott-margetts and .opencode/skills/resource-planner-scott-margetts in your project.

What does Resource Planner Scott Margetts need to run?

SKILL.md names no scripts, command-line tools or credentials: Resource Planner Scott Margetts is instructions for the agent only.

Does Resource Planner Scott Margetts access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Resource Planner Scott Margetts safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Resource Planner Scott Margetts use?

Resource Planner Scott Margetts is published under the Apache-2.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Resource Planner Scott Margetts use?

About 5.6k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Resource Planner Scott Margetts?

Skills that share tags, products or a category with Resource Planner Scott Margetts: Planner (penpot/penpot, 61k stars), Continue (telegramdesktop/tdesktop, 33k stars), Continuous Learning (affaan-m/ECC, 276k stars) and Continuous Learning (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Resource Planner Scott Margetts?

lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.

Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.