Goals
codewhale-hq/Codewhale
Set, review, and update the user's goals. An agent skill from codewhale-hq/Codewhale.
Own one goal across as many CALL-E calls as it takes, when who to call next depends on what the last call said — read every call as structured evidence, reject offers that break the user's stated…
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill outcome-completion-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents outcome-completion-agent --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/outcome-completion-agent .claude/skills/outcome-completion-agent && 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 "outcome-completion-agent" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/outcome-completion-agent into .claude/skills/outcome-completion-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-completion-agent", 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/outcome-completion-agentType 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 outcome-completion-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents outcome-completion-agent --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/outcome-completion-agent .agents/skills/outcome-completion-agent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "outcome-completion-agent" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/outcome-completion-agent into .agents/skills/outcome-completion-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-completion-agent", 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 outcome-completion-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents outcome-completion-agent --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/outcome-completion-agent .cursor/skills/outcome-completion-agent && 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 "outcome-completion-agent" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/outcome-completion-agent into .cursor/skills/outcome-completion-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-completion-agent", 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/outcome-completion-agent--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 outcome-completion-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents outcome-completion-agent --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/outcome-completion-agent .gemini/skills/outcome-completion-agent && 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 "outcome-completion-agent" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/outcome-completion-agent into .gemini/skills/outcome-completion-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-completion-agent", 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 outcome-completion-agentInstalls 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 outcome-completion-agent -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/outcome-completion-agent .github/skills/outcome-completion-agent && 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 "outcome-completion-agent" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/outcome-completion-agent into .github/skills/outcome-completion-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-completion-agent", 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 outcome-completion-agent -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 outcome-completion-agent --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/outcome-completion-agent .opencode/skills/outcome-completion-agent && 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 "outcome-completion-agent" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/outcome-completion-agent into .opencode/skills/outcome-completion-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outcome-completion-agent", 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.
outcome-completion-agentOwn one goal across as many CALL-E calls as it takes, when who to call next depends on what the last call said — read every call as structured evidence, reject offers that break the user's stated…
Outcome Completion Agent is an agent skill from CALLE-AI/awesome-phone-call-agents. Own one goal across as many CALL-E calls as it takes, when who to call next depends on what the last call said — read every call as structured evidence, reject offers that break the user's stated limits, follow referrals to parties the user never supplied, and gate the single call that commits the user.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/approval-gate.md`, `references/constraint-evaluation.md` and `references/evidence-schema.md`).
The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38d4118. 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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From 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.
Outcome Completion Agent loads about 2.3k tokens when it runs, and up to ~8.6k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 1,396 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); the scripts in this folder are not scanned.
The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 1,396 words, ~2,309 tokens.
.claude/skills/outcome-completion-agent/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Use this skill when the user states an outcome rather than a call, the route to that outcome runs through more than one organisation, and the next organisation is usually named on a call rather than known in advance.
"Get a replacement pallet for the crushed delivery on order BK-7741, before Friday, under $500."
The user has one phone number: the supplier who sent the broken pallet. The supplier is out of stock and names a distributor. The distributor quotes over the limit and names its own depot. The depot can do it. Three organisations, two of which did not exist as far as the agent was concerned when the run began.
outcome-completion-agent is a calling-pattern skill. It adds no backend, no queue and
no daemon. It turns one authorized "make this happen" request into a bounded loop of
one-off CALL-E calls whose order is decided by what earlier calls established.
skills/priority-call-waterfall/SKILL.md instead — one opening, call in order, stop at
the first yes.Confirm the user wants this pursued by phone, now, and that they accept calls may go to organisations they did not name.
Collect the outcome fields (see Required Fields). Ask for anything missing. Never infer a phone number, a price ceiling, or a deadline.
Show a masked preview: the goal, the constraints as the agent understood them, the starting phone book, and the call budget. Get explicit confirmation before call one. Always show the parsed constraints back. A price ceiling that failed to parse is a ceiling that will never block anything, and the user is the only one who can catch it.
Loop, one call at a time:
plan -> (approval, if it commits) -> one call -> evidence -> constraints -> planreferences/evidence-schema.md for the schema every call fills.references/constraint-evaluation.md. A call that completed happily and breaks a hard
limit is a failed outcome: keep working.Stop conditions, checked before every dial:
Exactly one call in the run may commit the user, and only after they approve it. Read
references/approval-gate.md.
Report using the Output Format below, whether or not the goal was reached.
goal — one sentence, imperative, with the constraints taken out of itconstraints[] — each with kind, description, value, and hard
(budget · deadline · required_fact · preference · forbidden).
hard: true disqualifies an offer. hard: false only ranks it.organizations[] — the starting phone book: name, phone (E.164), role.
One entry is enough; that is the point of the skill.budget — max_calls for the whole outcome and max_calls_per_org.
Both are required. A goal-seeking agent with an unbounded phone budget is not a
product, and CALL-E accounts are metered.Phone numbers must be E.164, and must be masked in every summary, preview and report.
This is the part that distinguishes this pattern, so it has its own rules.
Check the budget immediately before dialling, never when planning. An approval can sit overnight; the credit it would spend may be gone by the time it comes back.
Sensible defaults for a metered account: 6 calls per outcome, 2 per organisation. The per-organisation cap is what stops a no-answer loop from consuming the whole budget on one unanswered line.
Never widen a budget mid-run to finish a goal. Stop, report, and let the user decide whether it is worth more calls.
Report every run, resolved or not:
Never report an outcome as resolved unless the other party confirmed it on a call the user approved. An offer is not a resolution.
Read references/safety.md for the full contract. Always:
Read references/examples.md for a full run, a run that stops on budget, and the two
failure modes that most often get this pattern wrong.
scripts/check_evidence_schema.py checks one structured_result against the schema and
reports what a planner would actually be able to use from it — no network, no credentials,
no calls:
python3 scripts/check_evidence_schema.py path/to/result.jsonIt reports errors (the result is malformed) separately from notes (the result parses, but something in it will be discarded). The notes matter more than they look: a referral whose number is unusable is the difference between an agent that finds the depot and one that stops at the supplier, and nothing else in the run will tell you it was dropped.
Check the checker with python3 scripts/test_check_evidence_schema.py.
© 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
SKILL.md and 7 other files (scripts, references) in skills/outcome-completion-agent of CALLE-AI/awesome-phone-call-agents.
Open the folder on GitHubat commit 38d4118
Outcome Completion Agent 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 |
|---|---|---|---|---|---|---|
| Outcome Completion Agent this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Goalscodewhale-hq/Codewhale | 41k | — | ~273 | Automated safety check: Pass | MIT | |
| Goal Objective DrafterQwenLM/qwen-code | 28k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Fable Goalalirezarezvani/claude-skills | 28k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Agent Goal Plannerruvnet/ruflo | 74k | 2 repos | ~842 | Automated safety check: Pass | MIT | |
| Goal Planruvnet/ruflo | 74k | — | ~807 | Automated safety check: Notes | MIT |
codewhale-hq/Codewhale
Set, review, and update the user's goals. An agent skill from codewhale-hq/Codewhale.
QwenLM/qwen-code
Turns a vague intention into a /goal objective with one outcome, numbered yes-or-no checks, guardrails, a budget and a block protocol, without starting the work.
alirezarezvani/claude-skills
Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session.
ruvnet/ruflo
Agent skill for goal-planner - invoke with $agent-goal-planner
ruvnet/ruflo
Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning
sickn33/agentic-awesome-skills
Draft and explain persistent goal-loop prompts for long-running agent work with clear stop conditions.
CALLE-AI/awesome-phone-call-agents
Demonstrates advisory accessibility-planning checks with offline fixtures and a proposed bounded CALL-E workflow; use for exploring unknown or qualified venue claims without making calls.
CALLE-AI/awesome-phone-call-agents
A skill your agent uses when an agent holds some evidence for a physical-world claim but the evidence is broader, narrower, or older than the exact question asked, and it must first decide whether a…
CALLE-AI/awesome-phone-call-agents
Call a venue and ask the accessibility questions that matter to one specific person — step-free entry, hearing loop, guide dogs, quiet hours, changing places — then return a per-need verdict backed…
CALLE-AI/awesome-phone-call-agents
Turns a pre-written, building-level location config into a CALL-E outbound phone-call task that guides a delivery driver through the last few hundred metres to a specific building using landmarks…
CALLE-AI/awesome-phone-call-agents
Turn cited business research into a bounded, approval-gated phone-call plan that asks only unresolved factual questions, then reconcile CALL-E-compatible results without treating voicemail, refusal…
CALLE-AI/awesome-phone-call-agents
Place a goal-driven CALL-E call that collects specific structured answers, score those answers against a deterministic rubric you supply, and conditionally trigger a follow-up action — all runnable…
Own one goal across as many CALL-E calls as it takes, when who to call next depends on what the last call said — read every call as structured evidence, reject offers that break the user's stated…. Outcome Completion Agent is an agent skill from CALLE-AI/awesome-phone-call-agents. Own one goal across as many CALL-E calls as it takes, when who to call next depends on what the last call said — read every call as structured evidence, reject offers that break the user's stated limits, follow referrals to parties the user never supplied, and gate the single call that commits the user.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill outcome-completion-agent -a claude-code`. Or copy the skill folder (skills/outcome-completion-agent in CALLE-AI/awesome-phone-call-agents) into .claude/skills/outcome-completion-agent in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill outcome-completion-agent -a codex`. Or copy the skill folder (skills/outcome-completion-agent in CALLE-AI/awesome-phone-call-agents) into .agents/skills/outcome-completion-agent 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 CALLE-AI/awesome-phone-call-agents --skill outcome-completion-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/outcome-completion-agent, .gemini/skills/outcome-completion-agent, .github/skills/outcome-completion-agent and .opencode/skills/outcome-completion-agent in your project.
Going by SKILL.md and its folder, Outcome Completion Agent needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Outcome Completion Agent is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.2k 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 6.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Outcome Completion Agent: Goals (codewhale-hq/Codewhale, 41k stars), Goal Objective Drafter (QwenLM/qwen-code, 28k stars), Fable Goal (alirezarezvani/claude-skills, 28k stars) and Agent Goal Planner (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.