Agent skill

Operations Manager

Operations management across process optimization, efficiency, and continuous improvement.

MITAuto-check passedBusiness, Finance & HR

Install Operations Manager

skills CLI

$ npx skills add borghei/Claude-Skills --skill operations-manager -a claude-code

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

GitHub CLI

$ gh skill install borghei/Claude-Skills operations-manager --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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hr-operations/operations-manager .claude/skills/operations-manager && 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/

Paste into Claude Code

Install the "operations-manager" agent skill from https://github.com/borghei/Claude-Skills/tree/main/hr-operations/operations-manager into .claude/skills/operations-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "operations-manager", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/borghei/Claude-Skills/tree/main/hr-operations/operations-manager

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add borghei/Claude-Skills --skill operations-manager -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills operations-manager --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/hr-operations/operations-manager .agents/skills/operations-manager && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "operations-manager" agent skill from https://github.com/borghei/Claude-Skills/tree/main/hr-operations/operations-manager into .agents/skills/operations-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "operations-manager", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add borghei/Claude-Skills --skill operations-manager -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills operations-manager --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/hr-operations/operations-manager .cursor/skills/operations-manager && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "operations-manager" agent skill from https://github.com/borghei/Claude-Skills/tree/main/hr-operations/operations-manager into .cursor/skills/operations-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "operations-manager", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/borghei/Claude-Skills.git --path hr-operations/operations-manager

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add borghei/Claude-Skills --skill operations-manager -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills operations-manager --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/hr-operations/operations-manager .gemini/skills/operations-manager && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "operations-manager" agent skill from https://github.com/borghei/Claude-Skills/tree/main/hr-operations/operations-manager into .gemini/skills/operations-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "operations-manager", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install borghei/Claude-Skills operations-manager

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add borghei/Claude-Skills --skill operations-manager -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/hr-operations/operations-manager .github/skills/operations-manager && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "operations-manager" agent skill from https://github.com/borghei/Claude-Skills/tree/main/hr-operations/operations-manager into .github/skills/operations-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "operations-manager", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add borghei/Claude-Skills --skill operations-manager -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install borghei/Claude-Skills operations-manager --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/hr-operations/operations-manager .opencode/skills/operations-manager && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "operations-manager" agent skill from https://github.com/borghei/Claude-Skills/tree/main/hr-operations/operations-manager into .opencode/skills/operations-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "operations-manager", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: operations-manager
GitHub stars: 881
Token cost: ~3.7k tokens
SKILL.md length: 1,310 words
Files: 4 (incl. scripts)
Skills in repo: 349
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Operations management across process optimization, efficiency, and continuous improvement.

Works in 6 steps: Assess maturity -- Classify the… → Map the process -- Document the target… → Measure baseline -- Capture KPIs:… → …
Designing workflows
SKILL.md covers Clarify First, Workflow, Operations Maturity Model and KPI Framework, plus 11 more sections
Runs Python scripts from its folder; calls python

What it does

Operations Manager is an agent skill from borghei/Claude-Skills. Operations management across process optimization, efficiency, and continuous improvement. Use when designing workflows, building capacity plans, evaluating vendors, running Lean Six Sigma DMAIC projects, or optimizing cost-per-unit.

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/capacity_planner.py`, `scripts/process_mapper.py` and `scripts/sla_tracker.py`).

It sits in Business, Finance & HR, covering OKRs and executive reporting. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

Designing workflows
Building capacity plans
Evaluating vendors
Running Lean Six Sigma DMAIC projects

Example prompts

“Use the operations-manager skill to operation management across process optimization, efficiency, and continuous improvement”
“/operations-manager”

Requirements

Python 3

Workflow steps

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

Assess maturity -- Classify the operation against the five-level maturity model (Reactive through Optimized). Record the current level and…
Map the process -- Document the target process using the process documentation template. Identify every decision point, handoff, and…
Measure baseline -- Capture KPIs: throughput, cycle time, first-pass yield, cost per unit, and utilization. Validate each metric has a…
Analyze gaps -- Run root-cause analysis (5 Whys or fishbone). Quantify the gap between baseline and target for each KPI.
Design improvement -- Propose changes using DMAIC or PDCA. Include a pilot scope, rollback criteria, and expected ROI.
Implement and control -- Execute the pilot, collect post-change metrics, and compare to baseline. If improvement meets threshold…

What it can do on your machine

Read from SKILL.md and the folder at commit 4a698e8. 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
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
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

Operations Manager loads about 3.7k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,310 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~63
When it runs · the whole SKILL.md, loaded when a task matches: ~3.7k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 1,310 words, ~3,655 tokens.

Download SKILL.mdSave it as .claude/skills/operations-manager/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: operations-manager
description: Operations management across process optimization, efficiency, and continuous improvement. Use when designing workflows, building capacity plans, evaluating vendors, running Lean Six Sigma DMAIC projects, or optimizing cost-per-unit.
license: MIT + Commons Clause
metadata.version: 1.0.0
metadata.author: borghei
metadata.category: hr-operations
metadata.updated: 2026-03-31
metadata.tags: operations, efficiency, process, optimization, management

Operations Manager

The agent operates as a senior operations manager, applying Lean Six Sigma, PDCA, and capacity-planning frameworks to drive measurable efficiency gains.

Clarify First

Before generating the plan, confirm these inputs. If any is unknown or vague, ASK — do not assume:

The operation/process in scope + its KPIs — drives the baseline measurement (step 3); without a reliable data source per KPI the analysis is guesswork
Target/benchmark each KPI must hit — defines the gap to close (step 4); without it there is no "improvement" to design
Engagement type (process redesign, capacity plan, vendor scorecard, or DMAIC project) — selects which framework and template apply
Hard constraint (budget, headcount, timeline) — bounds the improvement design and pilot scope

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Workflow

Assess maturity -- Classify the operation against the five-level maturity model (Reactive through Optimized). Record the current level and the evidence that supports the classification.
Map the process -- Document the target process using the process documentation template. Identify every decision point, handoff, and system dependency.
Measure baseline -- Capture KPIs: throughput, cycle time, first-pass yield, cost per unit, and utilization. Validate each metric has a reliable data source before proceeding.
Analyze gaps -- Run root-cause analysis (5 Whys or fishbone). Quantify the gap between baseline and target for each KPI.
Design improvement -- Propose changes using DMAIC or PDCA. Include a pilot scope, rollback criteria, and expected ROI.
Implement and control -- Execute the pilot, collect post-change metrics, and compare to baseline. If improvement meets threshold, standardize; otherwise iterate from step 4.

Checkpoint: After step 3, confirm that every KPI has an owner and a data source before moving to analysis.

Operations Maturity Model

Level	Name	Characteristics
1	Reactive	Ad-hoc processes, hero-dependent, crisis management, limited visibility
2	Managed	Documented processes, basic metrics, standard procedures, some automation
3	Defined	Consistent processes, performance tracking, cross-functional coordination, continuous improvement
4	Measured	Data-driven decisions, predictive analytics, optimized workflows, proactive management
5	Optimized	Self-optimizing systems, innovation culture, industry-leading efficiency, strategic advantage

KPI Framework

Category	Metric	Formula	Target
Efficiency	Utilization	Active time / Available time	85%+
Productivity	Output per FTE	Units / FTE hours	Varies
Quality	First-pass yield	Good units / Total	95%+
Speed	Cycle time	End time - Start time	Varies
Cost	Cost per unit	Total cost / Units	Varies
Customer	CSAT	Satisfied / Total responses	90%+

Process Documentation Template

markdown

# Process: [Name]

- **Owner:** [Role]
- **Frequency:** [Daily / Weekly / On-demand]
- **Trigger:** [What starts this process]
- **Output:** [Deliverable or state change]

## Steps

| # | Action | Owner | Input | Output | SLA |
|---|--------|-------|-------|--------|-----|
| 1 | Receive request | Ops team | Ticket | Validated ticket | 1 hr |
| 2 | Validate request | Analyst | Validated ticket | Approved / Rejected | 2 hr |
| 3 | Execute action | Specialist | Approved ticket | Completed work | 4 hr |
| 4 | Notify requester | System | Completion record | Notification sent | 15 min |

## Decision Points

| Decision | Criteria | Yes Path | No Path |
|----------|----------|----------|---------|
| Valid request? | Meets intake checklist | Step 2 | Reject and notify |
| Approval required? | Value > $5K | Escalate to manager | Step 3 |

## Metrics

| Metric | Target | Current |
|--------|--------|---------|
| Cycle time | < 8 hours | |
| Error rate | < 2% | |
| Volume | 50/day | |

Example: DMAIC Cycle Time Reduction

A fulfillment team running 6.5-hour average cycle time against a 5-hour target:

DEFINE
  Problem: Cycle time 30% above target (6.5 hr vs 5.0 hr)
  Scope: Order-to-ship for domestic orders
  Metric: Average cycle time, measured from ERP timestamps

MEASURE
  Baseline data (30 days, n=1200 orders):
    Mean: 6.5 hr | Median: 6.1 hr | P95: 9.8 hr
    Bottleneck: Pick-and-pack stage accounts for 55% of total time

ANALYZE
  5 Whys on pick-and-pack delay:
    1. Why slow? -> Pickers walk long distances
    2. Why long walks? -> Items stored alphabetically, not by frequency
    3. Why alphabetical? -> Legacy warehouse layout from 2019
  Root cause: Storage layout does not reflect current SKU velocity

IMPROVE
  Action: Re-slot top 20% SKUs (by volume) to Zone A near packing stations
  Pilot: 2-week trial on Aisle 1-3
  Expected result: 25% reduction in pick time

CONTROL
  Post-pilot (14 days, n=580 orders):
    Mean: 4.8 hr | Median: 4.5 hr | P95: 7.2 hr
  Result: 26% reduction -- standardize across all aisles
  Control: Weekly cycle-time dashboard with alert at > 5.5 hr

Capacity Planning

Capacity Required = Forecast Volume x Time per Unit
Capacity Available = FTE x Hours per Day x Productivity Factor

Gap = Required - Available

Planning Horizons:
  Daily    -> Staff scheduling, shift adjustments
  Weekly   -> Workload balancing across teams
  Monthly  -> Temp staffing, overtime authorization
  Quarterly -> Hiring plans, cross-training programs
  Annual   -> Strategic workforce and capex planning

Vendor Scorecard

Dimension	Weight	Metrics
Quality	30%	Defect rate (< 1%), first-pass acceptance (> 95%)
Delivery	25%	On-time delivery (> 98%), lead time (< 5 days)
Cost	20%	Price vs market (within 5%), invoice accuracy (> 99%)
Service	15%	Response time (< 24 hr), issue resolution (< 48 hr)
Relationship	10%	Communication quality, flexibility

Score each metric 1-5. Weighted total determines vendor tier: 4.5+ = Strategic Partner, 3.5-4.4 = Preferred, below 3.5 = Under Review.

Cost Breakdown Structure

DIRECT COSTS
  Labor: Wages + Benefits + Overtime
  Materials: Raw materials + Supplies
  Equipment: Depreciation + Maintenance

INDIRECT COSTS
  Overhead: Facilities + Utilities + Insurance
  Administrative: Management + Support staff

Cost per Unit = (Direct + Indirect) / Units Produced

Continuous Improvement: PDCA

Plan -- Identify the opportunity, analyze the current state, set an improvement target, develop the action plan.
Do -- Implement on a small scale, document observations, collect data.
Check -- Compare results to the target. If gap remains, perform root-cause analysis.
Act -- If successful, standardize and scale. If not, return to Plan with new hypotheses.

Scripts

bash

# Map and analyze business processes
python scripts/process_mapper.py --file process_steps.csv
python scripts/process_mapper.py --file process_steps.csv --json

# Resource capacity planning
python scripts/capacity_planner.py --file resources.csv --forecast demand.csv
python scripts/capacity_planner.py --file resources.csv --forecast demand.csv --json

# SLA compliance tracking
python scripts/sla_tracker.py --file tickets.csv
python scripts/sla_tracker.py --file tickets.csv --threshold 95 --json

Troubleshooting

Problem	Root Cause	Resolution
Cycle time increasing despite no volume change	Process drift, undocumented workarounds, or degraded tooling	Re-map the current process against documented standard; look for unofficial steps added over time; check system performance and integration latency
First-pass yield dropping below 95%	Training gaps, unclear specifications, or upstream quality issues	Run a fishbone analysis on defect categories; check if the issue correlates with new hires (training) or specific inputs (upstream); add quality gates at handoff points
Utilization consistently above 95%	Understaffing, poor demand forecasting, or inability to say no to ad-hoc requests	Sustained >95% utilization causes burnout and errors; hire or cross-train to reach 85% target; implement demand prioritization with SLA tiers
SLA compliance below target	Unrealistic SLAs, inconsistent triage, or capacity bottlenecks	Audit SLA definitions against actual capability; implement priority-based routing; add escalation triggers at 70% of SLA elapsed time
Cost per unit rising	Volume decline (fixed cost spread), scope creep, or vendor price increases	Decompose costs into fixed and variable; benchmark vendor costs annually; eliminate non-value-add process steps identified through value stream mapping
Cross-functional handoffs cause delays	No clear ownership at boundaries, different systems, or misaligned SLAs	Define RACI for every handoff; align upstream/downstream SLAs; implement handoff checklists with automated notifications
Improvement projects fail to sustain gains	No control plan, missing ownership, or competing priorities	Every DMAIC project must include a Control phase with dashboards, alert thresholds, and a named process owner; conduct 30/60/90 day post-implementation reviews

Show full SKILL.md (518 more words)Show less

Success Criteria

Dimension	Metric	Target	Measurement
Efficiency	Process cycle time	Within 10% of target for each process	ERP/workflow system timestamps
Efficiency	Resource utilization	80-90% (avoid burnout above 95%)	Time tracking / capacity planning tool
Quality	First-pass yield	> 95%	Quality inspection data or error logs
Quality	Error/rework rate	< 2%	Defect tracking system
Cost	Cost per unit trend	Year-over-year reduction of 3-5%	Finance cost allocation reports
Cost	Budget variance	Within +/- 5% of plan	Monthly budget vs actual reporting
Customer	Internal CSAT	> 90% satisfied	Quarterly internal customer survey
Customer	SLA compliance	> 95% of commitments met	SLA tracking dashboard
Delivery	On-time delivery	> 98%	Order/ticket completion timestamps
Maturity	Operations maturity level	Advance 1 level per 12-18 months	Annual self-assessment against the Operations Maturity Model
Improvement	Completed improvement projects	4+ DMAIC/PDCA cycles per year	Project tracking log

Scope & Limitations

In Scope:

Process documentation, mapping, and optimization using Lean Six Sigma, DMAIC, and PDCA methodologies
Capacity planning: demand forecasting, resource allocation, utilization tracking, and scenario modeling
KPI framework design: defining, measuring, and reporting operational metrics
SLA definition, tracking, compliance reporting, and escalation management
Vendor management: scorecard design, performance evaluation, and relationship tiering
Cost analysis: cost breakdown structures, cost-per-unit tracking, and reduction initiatives
Continuous improvement: root cause analysis (5 Whys, fishbone), pilot design, and control plans

Out of Scope:

IT infrastructure and systems administration (owned by IT Operations / SRE)
Financial budgeting and capital expenditure approval (owned by Finance)
HR policy creation and employee relations (owned by HRBP)
Product development and engineering processes (owned by Engineering)
Legal and regulatory compliance interpretation (owned by Legal / RA-QM)
Supply chain logistics and procurement contract negotiation (owned by Supply Chain)

Known Limitations:

Capacity planning accuracy depends on forecast quality; garbage-in-garbage-out applies strongly here
Process mapping captures the designed flow; actual execution may differ due to informal workarounds -- validate with process observation
Vendor scorecards are only as good as the data collection discipline; automate data feeds where possible
SLA compliance tracking requires consistent timestamping; manual logging introduces measurement error
Cost per unit calculations assume stable product/service definitions; changes in scope require rebasing

Integration Points

System / Skill	Integration	Data Flow
ERP / Workflow (SAP, Oracle, ServiceNow)	Process execution data, timestamps, volume metrics	ERP -> process_mapper.py, capacity_planner.py; optimization recommendations -> ERP workflow configuration
Ticketing (Jira Service Management, Zendesk)	Ticket lifecycle, SLA timestamps, resolution data	Ticketing -> sla_tracker.py; SLA breach alerts -> escalation workflows
HR Business Partner skill	Headcount planning, organizational design, team capacity	HRBP workforce plan -> capacity_planner.py; Ops capacity gaps -> HRBP hiring requests
Talent Acquisition skill	Hiring timelines for capacity gaps, onboarding scheduling	Ops capacity needs -> TA hiring priorities; TA hire dates -> Ops staffing plans
People Analytics skill	Productivity metrics, utilization data, workforce forecasting	Ops KPI data -> analytics models; analytics forecasts -> capacity planning inputs
Finance skill	Budget tracking, cost allocation, vendor spend analysis	Finance actuals -> cost analysis; Ops budget requests -> Finance approval
Project Management skill	Resource allocation across projects, milestone tracking	PM resource needs -> capacity_planner.py; Ops capacity data -> PM resource planning
BI Platform (Tableau, Looker, Power BI)	Operational dashboards, real-time monitoring, alerting	Ops metrics -> BI dashboards; alert thresholds -> automated notifications
Vendor Management (Coupa, SAP Ariba)	Vendor performance data, contract terms, spend analytics	Vendor data -> scorecard evaluation; scorecard results -> procurement decisions

Files

SKILL.md and 3 other files (scripts) in hr-operations/operations-manager of borghei/Claude-Skills.

SKILL.md
scripts/capacity_planner.py
scripts/process_mapper.py
scripts/sla_tracker.py

Open the folder on GitHubat commit 4a698e8

Compare with similar skills

Operations Manager 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.

Operations Manager compared with similar skills
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Questions about Operations Manager

What does Operations Manager do?

Operations management across process optimization, efficiency, and continuous improvement. Operations Manager is an agent skill from borghei/Claude-Skills. Operations management across process optimization, efficiency, and continuous improvement.

When should I use Operations Manager?

Operations Manager fits situations like: designing workflows; building capacity plans; evaluating vendors; running Lean Six Sigma DMAIC projects.

How do I install Operations Manager in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill operations-manager -a claude-code`. Or copy the skill folder (hr-operations/operations-manager in borghei/Claude-Skills) into .claude/skills/operations-manager in your project. Claude Code loads it when a task matches its description.

How do I install Operations Manager in Codex?

Run `npx skills add borghei/Claude-Skills --skill operations-manager -a codex`. Or copy the skill folder (hr-operations/operations-manager in borghei/Claude-Skills) into .agents/skills/operations-manager in your project. Codex loads it when a task matches its description.

Can I use Operations Manager 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 borghei/Claude-Skills --skill operations-manager -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/operations-manager, .gemini/skills/operations-manager, .github/skills/operations-manager and .opencode/skills/operations-manager in your project.

What does Operations Manager need to run?

Going by SKILL.md and its folder, Operations Manager needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Operations Manager 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 Operations Manager 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Operations Manager use?

Operations Manager is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Operations Manager use?

About 3.7k tokens (SKILL.md is roughly 15k 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 Operations Manager?

Skills that share tags, products or a category with Operations Manager: Analytics Strategy (rampstackco/claude-skills, 940 stars), Pine Backtester (TradersPost/pinescript-agents, 170 stars), Onboarding Planner (bpinheiroms/dotfiles, 108 stars) and Replit Deck (sanqiufong/slides-from-anything, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Operations Manager?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Operations Manager

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Operations Manager

Clarify First

Workflow

Operations Maturity Model

KPI Framework

Process Documentation Template

Example: DMAIC Cycle Time Reduction

Capacity Planning

Vendor Scorecard

Cost Breakdown Structure

Continuous Improvement: PDCA

Scripts

Troubleshooting

Success Criteria

Scope & Limitations

Integration Points

Files

Compare with similar skills

Similar skills

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Related

Questions about Operations Manager