MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Confirm bookings and backfill freed capacity from a waitlist using CALL-E phone calls.
MITAuto-check passed
Install Capacity Backfill Cascade
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents capacity-backfill-cascade --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/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/capacity-backfill-cascade .claude/skills/capacity-backfill-cascade && 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 "capacity-backfill-cascade" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/capacity-backfill-cascade into .claude/skills/capacity-backfill-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capacity-backfill-cascade", 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/CALLE-AI/awesome-phone-call-agents/tree/main/skills/capacity-backfill-cascadeType 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 CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents capacity-backfill-cascade --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/capacity-backfill-cascade .agents/skills/capacity-backfill-cascade && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "capacity-backfill-cascade" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/capacity-backfill-cascade into .agents/skills/capacity-backfill-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capacity-backfill-cascade", 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 CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents capacity-backfill-cascade --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/capacity-backfill-cascade .cursor/skills/capacity-backfill-cascade && 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 "capacity-backfill-cascade" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/capacity-backfill-cascade into .cursor/skills/capacity-backfill-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capacity-backfill-cascade", 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/CALLE-AI/awesome-phone-call-agents.git --path skills/capacity-backfill-cascade--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 CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents capacity-backfill-cascade --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/capacity-backfill-cascade .gemini/skills/capacity-backfill-cascade && 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 "capacity-backfill-cascade" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/capacity-backfill-cascade into .gemini/skills/capacity-backfill-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capacity-backfill-cascade", 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 CALLE-AI/awesome-phone-call-agents capacity-backfill-cascadeInstalls 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 CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/capacity-backfill-cascade .github/skills/capacity-backfill-cascade && 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 "capacity-backfill-cascade" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/capacity-backfill-cascade into .github/skills/capacity-backfill-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capacity-backfill-cascade", 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 CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents capacity-backfill-cascade --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/capacity-backfill-cascade .opencode/skills/capacity-backfill-cascade && 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 "capacity-backfill-cascade" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/capacity-backfill-cascade into .opencode/skills/capacity-backfill-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capacity-backfill-cascade", 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
capacity-backfill-cascade- GitHub stars
- 107
- Token cost
- ~751 tokens
- SKILL.md length
- 361 words
- Files
- 8 (incl. scripts, references, assets)
- Skills in repo
- 101
- Repo updated
- First seen
- Licence
- MIT
At a glance
Confirm bookings and backfill freed capacity from a waitlist using CALL-E phone calls.
- Works in 4 steps: Prepare two JSONL inputs (schemas in… → Run a dry-run first and inspect the… → Only when the plan looks right, place… → …
- An agent needs to recover cancelled reservations
- SKILL.md covers When to use, Prerequisites, Workflow and Safety rules, plus 1 more section
- Runs Python scripts from its folder; calls python and pip; reaches seleven-mcp-sg.airudder.com
What it does
Capacity Backfill Cascade is an agent skill from CALLE-AI/awesome-phone-call-agents. Confirm bookings and backfill freed capacity from a waitlist using CALL-E phone calls. Use when an agent needs to recover cancelled reservations, fill released slots, or run consent-based confirm-then-cascade call workflows safely.
Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `references/calle-cli-mapping.md`, `references/examples.md` and `references/flow.md`).
It works with Python. The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
When your agent uses it
- An agent needs to recover cancelled reservations
- Fill released slots
- Run consent-based confirm-then-cascade call workflows safely
Example prompts
- “/capacity-backfill-cascade”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Prepare two JSONL inputs (schemas in references/io-schemas.md): reservations and
- Run a dry-run first and inspect the audit and report
- Only when the plan looks right, place real calls with an explicit budget
- Review the masked staff report at state/runs//report.md; escalate
What it can do on your machine
Read from SKILL.md and the folder at commit 38d4118. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
seleven-mcp-sg.airudder.com
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
Capacity Backfill Cascade loads about 751 tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 361 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.
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 CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 361 words, ~751 tokens.
Download SKILL.mdSave it as
.claude/skills/capacity-backfill-cascade/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- capacity-backfill-cascade
- description
- Confirm bookings and backfill freed capacity from a waitlist using CALL-E phone calls. Use when an agent needs to recover cancelled reservations, fill released slots, or run consent-based confirm-then-cascade call workflows safely.
capacity-backfill-cascade
A phone-call workflow pattern for capacity recovery: confirm upcoming bookings, and when a guest cancels, offer the freed slot to waitlist candidates in priority order until one accepts. Works for restaurants, tours, classes, and any booking system with a waitlist.
When to use
- An upcoming booking list where cancellations free capacity
- A waitlist of guests who consented to receive offers
- A need to recover lost capacity without staff dialing
Prerequisites
- Python 3.10+ with the reference app installed:
cd apps/python/table-rescue && pip install -e . - CALL-E CLI installed and logged in (live mode only):
calle auth login --base-url https://seleven-mcp-sg.airudder.com --channel openagent_oauth
Workflow
- Prepare two JSONL inputs (schemas in
references/io-schemas.md): reservations and waitlist. Every record needs an explicitconsentflag; non-consented records are never dialled. - Run a dry-run first and inspect the audit and report:
python scripts/run_cascade.py --data-dir <dir> --state-dir <dir> - Only when the plan looks right, place real calls with an explicit budget:
python scripts/run_cascade.py --data-dir <dir> --state-dir <dir> --live --max-calls 6 - Review the masked staff report at
state/runs/<run-id>/report.md; escalate no-answer and error targets manually.
Show full SKILL.md (184 more words)Show less
Safety rules
- Dry-run is the default; live requires
--live. - Never exceed the call budget; the engine stops before dialing when the budget is out.
- Never dial a record without consent.
- The call goals instruct the agent to identify itself as an automated assistant at the start of every call (disclosure by design).
- Reruns with the same run id skip already-dialled targets (duplicate prevention).
- Cancel a run with
table-rescue cancel --run-id <id>; later runs refuse to dial. - Mask phone numbers in any output you produce; never log full numbers or tokens.
- Live destinations must pass region-aware E.164 validation and appear in the
operator's
authorized_destinations.jsonlallowlist; the run prints a manifest and requires confirmation before the first call. - The MCP origin is pinned;
--base-urlcannot point anywhere else. - Uncertain outcomes (no answer, unparseable or wrong-family tokens, provider
failures) mark the target NEEDS_REVIEW and stop the run; use
table-rescue resumeafter human review. - Out of scope: medical, legal, financial, and emergency content.
References
references/flow.md- phase diagram and decision tablereferences/io-schemas.md- input and output schemas, OUTCOME protocolreferences/calle-cli-mapping.md- how each step maps to CALL-E auth and MCP calls
© CALLE-AI, MIT. 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 7 other files (scripts, references, assets) in skills/capacity-backfill-cascade of CALLE-AI/awesome-phone-call-agents.
- SKILL.md
- assets/sample-waitlist.jsonl
- references/calle-cli-mapping.md
- references/examples.md
- references/flow.md
- references/io-schemas.md
- references/safety.md
- scripts/run_cascade.py
Open the folder on GitHubat commit 38d4118
Compare with similar skills
Capacity Backfill Cascade 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 |
|---|---|---|---|---|---|---|
| Capacity Backfill Cascade this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~751 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 47 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 29k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| PPT Masterhugohe3/ppt-master | 59k | 1 repos | ~2.5k | Automated safety check: Pass | MIT |
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Questions about Capacity Backfill Cascade
What does Capacity Backfill Cascade do?
Confirm bookings and backfill freed capacity from a waitlist using CALL-E phone calls. Capacity Backfill Cascade is an agent skill from CALLE-AI/awesome-phone-call-agents. Confirm bookings and backfill freed capacity from a waitlist using CALL-E phone calls.
When should I use Capacity Backfill Cascade?
Capacity Backfill Cascade fits situations like: an agent needs to recover cancelled reservations; fill released slots; run consent-based confirm-then-cascade call workflows safely.
How do I install Capacity Backfill Cascade in Claude Code?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a claude-code`. Or copy the skill folder (skills/capacity-backfill-cascade in CALLE-AI/awesome-phone-call-agents) into .claude/skills/capacity-backfill-cascade in your project. Claude Code loads it when a task matches its description.
How do I install Capacity Backfill Cascade in Codex?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a codex`. Or copy the skill folder (skills/capacity-backfill-cascade in CALLE-AI/awesome-phone-call-agents) into .agents/skills/capacity-backfill-cascade in your project. Codex loads it when a task matches its description.
Can I use Capacity Backfill Cascade 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 CALLE-AI/awesome-phone-call-agents --skill capacity-backfill-cascade -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/capacity-backfill-cascade, .gemini/skills/capacity-backfill-cascade, .github/skills/capacity-backfill-cascade and .opencode/skills/capacity-backfill-cascade in your project.
What does Capacity Backfill Cascade need to run?
Going by SKILL.md and its folder, Capacity Backfill Cascade needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Capacity Backfill Cascade access the network?
SKILL.md names 1 domain. In commands or code: seleven-mcp-sg.airudder.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Capacity Backfill Cascade 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 Capacity Backfill Cascade use?
Capacity Backfill Cascade is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Capacity Backfill Cascade use?
About 751 tokens (SKILL.md is roughly 3k 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 4.6k tokens, read only when the agent opens those files.
What are the alternatives to Capacity Backfill Cascade?
Skills that share tags, products or a category with Capacity Backfill Cascade: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Capacity Backfill Cascade?
CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 107 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on October 10, 2026.
Source: CALLE-AI/awesome-phone-call-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.