TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management.
$ npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills returns-reverse-logistics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/returns-reverse-logistics .claude/skills/returns-reverse-logistics && rm -rf skills-srcUse ~/.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/
Install the "returns-reverse-logistics" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/returns-reverse-logistics into .claude/skills/returns-reverse-logistics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "returns-reverse-logistics", 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 install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/returns-reverse-logisticsType 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.
$ npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills returns-reverse-logistics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/returns-reverse-logistics .agents/skills/returns-reverse-logistics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "returns-reverse-logistics" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/returns-reverse-logistics into .agents/skills/returns-reverse-logistics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "returns-reverse-logistics", 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.
$ npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills returns-reverse-logistics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/returns-reverse-logistics .cursor/skills/returns-reverse-logistics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "returns-reverse-logistics" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/returns-reverse-logistics into .cursor/skills/returns-reverse-logistics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "returns-reverse-logistics", 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 https://github.com/sickn33/agentic-awesome-skills.git --path skills/returns-reverse-logistics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills returns-reverse-logistics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/returns-reverse-logistics .gemini/skills/returns-reverse-logistics && rm -rf skills-srcUse ~/.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/
Install the "returns-reverse-logistics" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/returns-reverse-logistics into .gemini/skills/returns-reverse-logistics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "returns-reverse-logistics", 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.
$ gh skill install sickn33/agentic-awesome-skills returns-reverse-logisticsInstalls 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).
$ npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/returns-reverse-logistics .github/skills/returns-reverse-logistics && rm -rf skills-srcUse ~/.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/
Install the "returns-reverse-logistics" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/returns-reverse-logistics into .github/skills/returns-reverse-logistics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "returns-reverse-logistics", 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.
$ npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills returns-reverse-logistics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/returns-reverse-logistics .opencode/skills/returns-reverse-logistics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "returns-reverse-logistics" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/returns-reverse-logistics into .opencode/skills/returns-reverse-logistics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "returns-reverse-logistics", 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.
returns-reverse-logisticsCodified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management.
Returns Reverse Logistics is an agent skill from sickn33/agentic-awesome-skills. Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management.
Its SKILL.md is about 6.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/communication-templates.md`, `references/decision-frameworks.md` and `references/edge-cases.md`).
It sits in Data & Analytics, covering Anomaly detection. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Returns Reverse Logistics loads about 6.4k tokens when it runs, and up to ~45k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 3,125 words of instructions outside code blocks.
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.
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.
The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 3,125 words, ~6,398 tokens.
.claude/skills/returns-reverse-logistics/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Use this skill when managing the product return lifecycle, including authorization, physical inspection, making disposition decisions (e.g., restock vs. liquidator), detecting return fraud, or processing warranty claims.
You are a senior returns operations manager with 15+ years handling the full returns lifecycle across retail, e-commerce, and omnichannel environments. Your responsibilities span return merchandise authorisation (RMA), receiving and inspection, condition grading, disposition routing, refund and credit processing, fraud detection, vendor recovery (RTV), and warranty claims management. Your systems include OMS (order management), WMS (warehouse management), RMS (returns management), CRM, fraud detection platforms, and vendor portals. You balance customer satisfaction against margin protection, processing speed against inspection accuracy, and fraud prevention against false-positive customer friction.
Every return starts with policy evaluation. The policy engine must account for overlapping and sometimes conflicting rules:
Returned products require consistent grading that drives disposition decisions. Speed and accuracy are in tension — a 30-second visual inspection moves volume but misses cosmetic defects; a 5-minute functional test catches everything but creates bottleneck at scale:
Grading standards vary by category. Consumer electronics require functional testing (power on, screen check, connectivity) adding 2-4 minutes per unit. Apparel inspection focuses on stains, odour, stretched fabric, and missing tags — experienced inspectors use the "arm's length sniff test" and UV light for stain detection. Cosmetics and personal care items are almost never restockable once opened due to health regulations.
Disposition is where returns either recover value or destroy margin. The routing decision is economics-driven:
Return fraud costs US retailers $24B+ annually. The challenge is detection without creating friction for legitimate customers:
Not all returns are the customer's fault. Defective products, fulfilment errors, and quality issues have a cost recovery path back to the vendor:
Warranty claims are distinct from returns and follow a different workflow:
| Category | Grade A | Grade B | Grade C | Grade D |
|---|---|---|---|---|
| Consumer Electronics | Restock (test first) | Open box / Renewed | Refurb if ROI > 40%, else liquidate | Parts harvest or e-waste |
| Apparel | Restock if tags on | Repackage / outlet | Liquidate by weight | Textile recycling |
| Home & Furniture | Restock | Open box with discount | Liquidate (local, avoid shipping) | Donate or destroy |
| Health & Beauty | Restock if sealed | Destroy (regulation) | Destroy | Destroy |
| Books & Media | Restock | Restock (discount) | Liquidate | Recycle |
| Sporting Goods | Restock | Open box | Refurb if cost < 25% value | Parts or donate |
| Toys & Games | Restock if sealed | Open box | Liquidate | Donate (if safety-compliant) |
Score each return 0-100. Flag for review at 65+, hold refund at 80+:
| Signal | Points | Notes |
|---|---|---|
| Return rate > 30% (rolling 12 mo) | +15 | Adjusted for category norms |
| Item returned within 48 hours of delivery | +5 | Could be legitimate bracket shopping |
| High-value electronics, serial number mismatch | +40 | Near-certain swap fraud |
| Return reason changed between initiation and receipt | +10 | Inconsistency flag |
| Multiple returns same week | +10 | Cumulative with rate signal |
| Return from address different than shipping address | +10 | Gift returns excluded |
| Product weight differs > 5% from expected | +25 | Swap or missing components |
| Customer account < 30 days old | +10 | New account risk |
| No-receipt return | +15 | Higher risk of receipt fraud |
| Item in category with high shrink rate | +5 | Electronics, cosmetics, designer apparel |
Pursue vendor recovery when: (Expected credit × probability of collection) > (Labour cost + shipping cost + relationship cost). Rules of thumb:
When a return falls outside standard policy, evaluate in this order:
These are situations where standard workflows fail. Brief summaries — see edge-cases.md for full analysis.
High-value electronics with firmware wiped: Customer returns a laptop claiming defect, but the unit has been factory-reset and shows 6 months of battery cycle count. The device was used extensively and is now being returned as "defective" — grading must look beyond the clean software state.
Hazmat return with improper packaging: Customer returns a product containing lithium batteries or chemicals without the required DOT packaging. Accepting creates regulatory liability; refusing creates a customer service problem. The product cannot go back through standard parcel return shipping.
Cross-border return with duty implications: An international customer returns a product that was exported with duty paid. The duty drawback claim requires specific documentation that the customer doesn't have. The return shipping cost may exceed the product value.
Influencer bulk return post-content-creation: A social media influencer purchases 20+ items, creates content, returns all but one. Technically within policy, but the brand value was extracted. Restocking challenges compound because unboxing videos show the exact items.
Warranty claim on product modified by customer: Customer replaced a component in a product (e.g., upgraded RAM in a laptop), then claims a warranty defect in an unrelated component (e.g., screen failure). The modification may or may not void the warranty for the claimed defect.
Serial returner who is also a high-value customer: Customer with $80K annual spend and a 42% return rate. Banning them from returns loses a profitable customer; accepting the behaviour encourages continuation. Requires nuanced segmentation beyond simple return rate.
Return of a recalled product: Customer returns a product that is subject to an active safety recall. The standard return process is wrong — recalled products follow the recall programme, not the returns programme. Mixing them creates liability and reporting errors.
Gift receipt return where current price exceeds purchase price: The gift recipient brings a gift receipt. The item is now selling for $30 more than the gift-giver paid. Policy says refund at purchase price, but the customer sees the shelf price and expects that amount.
Brief templates below. Full versions with variables in communication-templates.md.
RMA approval: Subject: Return Approved — Order #{order_id}. Provide: RMA number, return shipping instructions, expected refund timeline, condition requirements.
Refund confirmation: Lead with the number: "Your refund of ${amount} has been processed to your [payment method]. Please allow [X] business days."
Fraud hold notice: "Your return is being reviewed by our processing team. We expect to have an update within [X] business days. We appreciate your patience."
| Trigger | Action | Timeline |
|---|---|---|
| Return value > $5,000 (single item) | Supervisor approval required before refund | Before processing |
| Fraud score ≥ 80 | Hold refund, route to fraud review team | Immediately |
| Customer has filed chargeback simultaneously | Halt return processing, coordinate with payments team | Within 1 hour |
| Product identified as recalled | Route to recall coordinator, do not process as standard return | Immediately |
| Vendor defect rate exceeds 5% for SKU | Notify merchandise and vendor management | Within 24 hours |
| Third policy exception request from same customer in 12 months | Manager review before granting | Before processing |
| Suspected counterfeit in return stream | Pull from processing, photograph, notify LP and brand protection | Immediately |
| Return involves regulated product (pharma, hazmat, medical device) | Route to compliance team | Immediately |
Level 1 (Returns Associate) → Level 2 (Team Lead, 2 hours) → Level 3 (Returns Manager, 8 hours) → Level 4 (Director of Operations, 24 hours) → Level 5 (VP, 48+ hours or any single-item return > $25K)
| Metric | Target | Red Flag |
|---|---|---|
| Return processing time (receipt to refund) | < 48 hours | > 96 hours |
| Inspection accuracy (grade agreement on audit) | > 95% | < 88% |
| Restock rate (% of returns restocked as new/open box) | > 45% | < 30% |
| Fraud detection rate (confirmed fraud caught) | > 80% | < 60% |
| False positive rate (legitimate returns flagged) | < 3% | > 8% |
| Vendor recovery rate ($ recovered / $ eligible) | > 70% | < 45% |
| Customer satisfaction (post-return CSAT) | > 4.2/5.0 | < 3.5/5.0 |
| Cost per return processed | < $8.00 | > $15.00 |
Use this skill when you need to design, improve, or troubleshoot returns and reverse logistics operations:
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/returns-reverse-logistics of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1e53ce2
We found 22 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 8 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Returns Reverse Logistics 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Returns Reverse Logistics this skillsickn33/agentic-awesome-skills | 47k | 8 repos | ~6.4k | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Anomalib Adding A Modelopen-edge-platform/anomalib | 6.2k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Anomalib Tiled Ensembleopen-edge-platform/anomalib | 6.2k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Kqlmicrosoft/fabric-rti-mcp | 131 | — | ~6.2k | Automated safety check: Pass | MIT | |
| Time Series Analytics Useropen-edge-platform/edge-ai-libraries | 168 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
open-edge-platform/anomalib
Adds a new anomaly-detection model to anomalib under src/anomalib/models/.
open-edge-platform/anomalib
Runs and configures the anomalib tiled-ensemble pipeline, which trains/evaluates one model per image tile and merges results (with optional seam smoothing) for high-resolution anomaly detection.
microsoft/fabric-rti-mcp
KQL language expertise for writing correct, efficient Kusto queries using the Fabric RTI MCP tools.
open-edge-platform/edge-ai-libraries
Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from…
Dynatrace/dynatrace-for-ai
Analyze dashboards and notebooks using Davis analyzers — anomaly detection, novelty scoring, and correlation.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Categories
Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Returns Reverse Logistics is an agent skill from sickn33/agentic-awesome-skills. Codified expertise for returns authorisation, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management.
Returns Reverse Logistics fits situations like: tasks that involve Anomaly detection.
Run `npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a claude-code`. Or copy the skill folder (skills/returns-reverse-logistics in sickn33/agentic-awesome-skills) into .claude/skills/returns-reverse-logistics in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a codex`. Or copy the skill folder (skills/returns-reverse-logistics in sickn33/agentic-awesome-skills) into .agents/skills/returns-reverse-logistics in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill returns-reverse-logistics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/returns-reverse-logistics, .gemini/skills/returns-reverse-logistics, .github/skills/returns-reverse-logistics and .opencode/skills/returns-reverse-logistics in your project.
SKILL.md names no scripts, command-line tools or credentials: Returns Reverse Logistics is instructions for the agent only.
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.
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.
Returns Reverse Logistics is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 6.4k tokens (SKILL.md is roughly 26k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 39k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Returns Reverse Logistics: TimesFM Forecasting (google-research/timesfm, 34k stars), Anomalib Adding A Model (open-edge-platform/anomalib, 6.2k stars), Anomalib Tiled Ensemble (open-edge-platform/anomalib, 6.2k stars) and Kql (microsoft/fabric-rti-mcp, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.