Agent skill

Author Fullsend Augmentations

by fullsend-ai in fullsend-ai/fullsend

Guide for writing fullsend augmentation skills and sub-agents that work alongside shipped defaults.

Apache-2.0Auto-check passedAgent Workflows

Install Author Fullsend Augmentations

skills CLI
$ npx skills add fullsend-ai/fullsend --skill author-fullsend-augmentations -a claude-code

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

GitHub CLI
$ gh skill install fullsend-ai/fullsend author-fullsend-augmentations --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/fullsend-ai/fullsend.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/author-fullsend-augmentations .claude/skills/author-fullsend-augmentations && rm -rf skills-src

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

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

Facts

Skill name
author-fullsend-augmentations
GitHub stars
147
Token cost
~5.8k tokens
SKILL.md length
2,575 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guide for writing fullsend augmentation skills and sub-agents that work alongside shipped defaults.

  • Works in 7 steps: Find or clone the source repos → Discover the target agent and what it… → Classify the change → …
  • Tasks that involve Subagents
  • SKILL.md covers When to use, Hard rule: discover, do not…, Hard rule: ask where it ships… and Hard rule: classify artifact…, plus 4 more sections
  • Calls rg, gh and git; reaches github.com

What it does

Author Fullsend Augmentations is an agent skill from fullsend-ai/fullsend. Guide for writing fullsend augmentation skills and sub-agents that work alongside shipped defaults. Discovers current agents, skills, schemas, and sub-agent rosters from fullsend-ai/agents and fullsend-ai/fullsend — never from a hardcoded inventory.

Its SKILL.md is about 5.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents. The repository describes itself as: On the path to fully autonomous agentic engineering. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/author-fullsend-augmentations”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Find or clone the source repos
  2. Discover the target agent and what it already loads
  3. Classify the change
  4. Analyze for conflicts
  5. Write the deliverable (branch on artifact from step 2b)
  6. Review the draft
  7. Recommend placement (then write only in the named target)

What it can do on your machine

Read from SKILL.md and the folder at commit 87bf615. 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

    Shell commands in SKILL.md call:

    • rg
    • gh
    • git

    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:

    • github.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

Author Fullsend Augmentations loads about 5.8k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 2,575 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~5.8k

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

Safety

Auto-check passed

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

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

SKILL.md

The full file from fullsend-ai/fullsend at commit 87bf615, republished under its Apache-2.0 licence (© fullsend-ai). 2,575 words, ~5,840 tokens.

Download SKILL.mdSave it as .claude/skills/author-fullsend-augmentations/SKILL.md (or your agent's skills folder).
name
author-fullsend-augmentations
description
Guide for writing fullsend augmentation skills and sub-agents that work alongside shipped defaults. Discovers current agents, skills, schemas, and sub-agent rosters from fullsend-ai/agents and fullsend-ai/fullsend — never from a hardcoded inventory.

Author fullsend augmentations

Help users write skills (and sub-agents) that augment default fullsend agent behavior without fighting it. An augmentation adds domain knowledge, tightens constraints, or reformats output — it does not replace the default skill's procedure unless the user explicitly chooses override.

When to use

  • The user wants to create a new skill for their repo to augment an existing agent or skill shipped by fullsend.
  • The user has a skill that is being ignored or overshadowed by a default skill.
  • The user wants to understand what a default skill or sub-agent already covers before writing their own.
  • The user wants to add or extend a sub-agent under an orchestrator skill (for example review).
  • The user is deciding whether to augment or fully override a default skill.

Hard rule: discover, do not memorize

Shipped agents, skills, harnesses, schemas, and sub-agent rosters change. Do not rely on remembered names or static tables in this skill.

Hard rule: ask where it ships before writing files

Discovery uses AGENTS_ROOT / FULLSEND_ROOT (or shallow clones) only to read harnesses, schemas, and shipped skills.

Never create or edit augmentation skills under:

  • The discovery checkout (AGENTS_ROOT, FULLSEND_ROOT)
  • A neutral test or discovery directory unless the user explicitly says that directory is the shipping target
  • The current working directory by default

Before mkdir, write, or "create the skill", ask with concrete choices (numbered options the user can pick, plus a type-your-own path) — not a blank open question and not a stop with no options:

  1. What artifact? (see Hard rule: classify artifact below — sub-agent vs augmentation skill vs org fork)
  2. Which repo gets it? (app repo, org skills repo, .fullsend config repo, or upstream contribution)
  3. Which placement? (see step 6 — repo .agents/skills/ vs org harness URL vs sub-agents/ under an orchestrator)

Until the user names the target path, output the draft in chat only (or write to a path the user gives you — their org skills repo, app repo, or .fullsend config repo).

Hard rule: classify artifact before writing

Sub-agents and augmentation skills are different file shapes. Classify from the user's words before creating directories. State your choice in one line (for example: "Artifact: sub-agent under pr-review").

User intentCreate thisAlso required (fixed roster)Do not create
"sub-agent for pr-review" / "new review dimension"<orchestrator>/sub-agents/<name>.md (plus parent edits or file-level override if discovery shows it)Discover shipping mechanism (upstream / file-level / whole-skill fork)<name>/SKILL.md wrapper skill
"skill to shorten retro/triage output" / domain rulesskills/<unique-name>/SKILL.mdHarness skills: pin if org-wideFiles under sub-agents/
"replace orchestrator roster/procedure"Whatever discovery says is required (often whole-skill fork today)Derived harness in .fullsend when replacing the skill entryA lone sub-agent file without a dispatch path

Anti-pattern: User asked for a sub-agent → you created wrapper-name/SKILL.md (or any */SKILL.md) with the dimension embedded inside. That is wrong. Sub-agent content belongs in sub-agents/<name>.md beside siblings like correctness.md, matching their frontmatter and Own / Do not own sections.

Anti-pattern: User asked for a sub-agent on a fixed roster → you only added sub-agents/new.md without editing the parent SKILL.md roster, keyword table, and dispatch steps. That file will never run.

If ambiguous ("add a new dimension to review"), ask with concrete choices: new sub-agent vs separate augmentation skill — short descriptions and a type-your-own option.

Always fetch current facts from:

RepoWhy
fullsend-ai/agentsRuntime harnesses, agent defs, skills, schemas, scripts, sub-agents
fullsend-ai/fullsendUser docs, ADRs, scaffold copies, CLI/config guidance

Prefer a local clone when available; otherwise use gh api / raw GitHub URLs against main (or the pin the user's org already uses).

Do not confuse fullsend's repo-root skills/ / .claude/skills/ (local Cursor/Claude tooling) with agent sandbox skills under agents → skills/.

How composition works

Multiple skills can load in one session. On overlapping topics, the model follows the more specific language. Vague augmentation ("be concise") loses to hard defaults every time.

Skill loading and name collisions

Read the current wording in fullsend:

docs/guides/user/customizing-with-skills.md

Same name as a built-in: If your repo skill directory matches a built-in skill name (for example retro-analysis), the agent never loads your version — the built-in wins and Fullsend logs a warning. Use a unique directory name (for example my-org-retro, not retro-analysis) to extend the agent, or use base: harness composition for an intentional override.

Different name: Your skill loads next to built-ins. To change behavior, be more specific than the default — exact fields, word limits, templates. Do not rely on soft guidance like "prefer concise."

Also read the agent definition — it often owns output fields more tightly than any skill.

Procedure

0. Find or clone the source repos

Before discovery, point at local clones of fullsend-ai/agents and fullsend-ai/fullsend. If they are not on disk, shallow-clone them to a temp path. Everything below reads from those trees — not from memory.

bash
# Agents repo (runtime source of truth)
AGENTS_ROOT="${AGENTS_ROOT:-}"   # set if already cloned
if [[ -z "$AGENTS_ROOT" ]]; then
  # try common local paths, else clone shallow
  for d in "$HOME/development/agents" ./agents; do
    [[ -d "$d/harness" && -d "$d/agents" && -d "$d/schemas" ]] && AGENTS_ROOT="$d" && break
  done
fi
if [[ -z "$AGENTS_ROOT" ]]; then
  git clone --depth 1 https://github.com/fullsend-ai/agents.git /tmp/fullsend-agents
  AGENTS_ROOT=/tmp/fullsend-agents
fi

# Fullsend repo (docs + scaffold)
FULLSEND_ROOT="${FULLSEND_ROOT:-}"
if [[ -z "$FULLSEND_ROOT" ]]; then
  for d in "$HOME/development/fullsend" ./fullsend; do
    [[ -d "$d/docs/guides/user" ]] && FULLSEND_ROOT="$d" && break
  done
fi
if [[ -z "$FULLSEND_ROOT" ]]; then
  git clone --depth 1 https://github.com/fullsend-ai/fullsend.git /tmp/fullsend-core
  FULLSEND_ROOT=/tmp/fullsend-core
fi
1. Discover the target agent and what it already loads

Ask which agent(s) the user wants to affect. Then list — do not assume.

bash
cd "$AGENTS_ROOT"

# Agents that have harnesses today
ls harness/*.yaml

# Skills each harness loads (authoritative for that checkout)
rg -n '^skills:' -A 20 harness/<agent>.yaml

# Agent system prompt / field contracts
sed -n '1,120p' agents/<agent>.md

# Output schema = required/optional JSON fields
cat schemas/<agent>-result.schema.json

# What the post-script posts to humans (comment vs issues vs review body)
rg -n 'jq -r|SUMMARY|COMMENT|body|findings|gh api|gh pr' scripts/post-<agent>.sh

Also skim fullsend user docs for extension points (names that unlock behavior when present even if not in the harness skills: list):

bash
cd "$FULLSEND_ROOT"
rg -n 'extension point|skills/|\.agents/skills' docs/guides/user/customizing-with-skills.md docs/agents/<agent>.md

For each overlapping skill you find, open its SKILL.md and note:

  • Fields or outputs it owns
  • Procedures / steps it defines
  • Hard rules vs soft guidance
  • Whether it orchestrates sub-agents (next step)
1b. Discover sub-agents (when relevant)

Some skills are orchestrators. They dispatch specialized sub-agents whose definitions live beside the skill.

bash
cd "$AGENTS_ROOT"

# Find every shipped sub-agent tree
find skills -type d -name sub-agents

# List roster for a skill (example pattern — use whatever find returns)
ls skills/<orchestrator-skill>/sub-agents/

# How the parent selects/dispatches them
rg -n 'sub-agent|sub_agents|roster|Dispatch' skills/<orchestrator-skill>/SKILL.md

# Read a sub-agent's ownership contract (frontmatter + Own/Do not own)
sed -n '1,80p' skills/<orchestrator-skill>/sub-agents/<name>.md

Before inventing a new sub-agent:

  1. Confirm the parent skill's dispatch model:
    • Fixed roster / named selection → dropping a new file alone is not enough; the parent SKILL.md must list and dispatch the new name. See Fixed-roster orchestrators below — do not suggest legacy overlay directories.
    • Directory discovery → a uniquely named file may be enough; verify in the parent SKILL.md.
  2. Check for an existing sub-agent that already owns the dimension (read Own / Do not own sections). Prefer augmenting that sub-agent's instructions over cloning a parallel one.
  3. Match shipped frontmatter conventions (name, description, model, tools, permissionMode, etc.) by copying structure from a sibling file — still read a current sibling; do not invent fields from memory.
Fixed-roster orchestrators (for example pr-review)

If discovery shows a fixed roster (parent SKILL.md names sub-agents explicitly), a lone sub-agents/<name>.md is never enough by itself — the parent must learn the name or the platform must support merging that file into the upstream skill tree.

Do not hardcode today's shipping options. After reading the parent orchestrator, discover what fullsend currently supports for intra-skill / sub-agent customization:

bash
cd "$FULLSEND_ROOT"
# User-facing guidance (preferred path lives here when features ship)
rg -n 'file-level|sub-agent|override|skills:' \
  docs/guides/user/customizing-with-skills.md \
  docs/guides/user/customizing-agents.md \
  docs/guides/user/default-vs-custom.md

# Whether harness skills: accepts object/map overrides (schema + types)
rg -n 'SkillEntry|file_overrides|Overrides' \
  docs/ ADRs/ internal/harness/ 2>/dev/null | head -40

Present shipping choices from what discovery found, not from memory. Typical families (names and availability change — verify each run):

FamilyWhen it appliesWhat to ship
UpstreamChange helps everyoneSub-agent + parent roster/dispatch in fullsend-ai/agents
File-level skill overrideDocs/schema show per-file add/replace inside a pinned skillOnly the changed file(s) (e.g. sub-agents/<name>.md) + harness skills: override entry; leave the rest upstream
Whole-skill / org forkNo file-level merge yet, or you must replace most of the treeFull orchestrator directory in the org skills repo + harness pin that replaces (not appends) the upstream skill
Augment without roster changeConstraints on an existing dimension onlyUnique-name skill; no new roster slot

Prefer the lightest mechanism discovery shows as supported and documented. When file-level overrides exist in the checkout you are reading, prefer them over whole-skill forks for single-file / few-file changes.

Harness skills: merge caveat (verify in Harness Field Reference): base: composition merges skill entries with deduplication by basename — a child entry whose directory name matches a base skill replaces it (child wins), not loads alongside. Say that plainly when recommending a fork.

Do not recommend customized/ or .fullsend/customized/ overlay paths.

When the user wants a new sub-agent but has not named the dimension: after the roster summary, ask with concrete choices (Performance, Observability, … plus type-your-own), derived from Own/Do-not-own gaps — not a blank "what do you want?"

1c. Map human-facing surfaces

JSON length ≠ human noise. Derive surfaces from schema + post-script, not from guesses:

QuestionWhere to look
What is posted as an issue/PR comment?scripts/post-<agent>.sh fields read via jq
What becomes separate GitHub issues?Same post-script — loops that gh issue create
What is review body vs findings?Review schema + post-review / pr-review skill

Compress only the human-facing field you intend to change. Leaving detail fields intact (for example retro proposal bodies) is often correct.

2. Classify the change
IntentApproach
Domain knowledge no default coversNew capability — low conflict risk
Change how an output field looksAugmentation — declare field ownership
New review/analysis dimensionSub-agent — discover how to register it (file-level override vs fork vs upstream)
Replace a default skill's procedure or most of a skill treeWhole-skill override / derived — only when discovery shows no lighter path
Constraints on top of default behaviorAugmentation — hard rules

For derived harnesses and agent registration, read only these fullsend entry points (skip "layered configuration" / "overriding built-in skills" sections in older user guides — they describe removed overlay mechanics):

  • docs/guides/user/default-vs-custom.md — augment vs derived
  • docs/ADRs/0045-forge-portable-harness-schema.md — base: merge rules
  • docs/ADRs/0058-agent-registration.md — registering harness URLs
  • docs/guides/user/building-custom-agents.md — new or derived agents

Use docs/guides/user/customizing-with-skills.md for repo skill layout, built-in skill names, and whatever override mechanisms that guide currently documents (re-read it every run — it changes when features ship).

2b. Lock artifact type (mandatory — do before step 4)

From the user's request and step 2, pick exactly one primary artifact:

sub-agent.md  |  augmentation SKILL.md  |  org-fork orchestrator tree

Confirm aloud:

  • Sub-agent: parent orchestrator name (for example pr-review), sub-agent filename (for example performance.md), fixed roster? (yes → path A or B from 1b)
  • Augmentation skill: unique skill directory name (not a built-in name)
  • Org fork: which orchestrator directory is copied wholesale

If the user said sub-agent, step 4 follows the Sub-agent branch only. Do not open the Skills branch unless they change the request.

Show full SKILL.md (995 more words)Show less
3. Analyze for conflicts

Compare the user's intent/draft to everything discovered above:

  • Field ownership collision — two instructions dictate the same field
  • Procedure overlap — two step lists for the same task
  • Tone conflict — soft ("prefer") vs hard ("must" / "≤ N words")
  • Scope ambiguity — "shorten everything" vs fields that must stay complete
  • Agent-def collision — agent markdown already hard-requires content
  • Sub-agent roster collision — new dimension already owned; or parent will never dispatch an unknown name
  • Wrong artifact — user asked for sub-agent but draft is a SKILL.md or wrapper skill; user asked for augmentation skill but draft is sub-agents/
4. Write the deliverable (branch on artifact from step 2b)

Stop. If you have not stated artifact type and target repo, do not write files.

Sub-agent branch (when user asked for a sub-agent)

File to create: <target>/skills/<orchestrator>/sub-agents/<name>.md

Not <target>/skills/<name>/SKILL.md. Not a harness line that loads a new wrapper skill unless the user explicitly asked for a separate augmentation skill.

  1. Read two siblings from discovery (for example correctness.md, security.md).
  2. Copy their frontmatter shape (name, description, model, tools, permissionMode, background, etc.) — do not invent fields.
  3. Write Own / Do not own for the new dimension.
  4. If fixed roster (step 1b): ensure the new name is dispatchable — usually parent SKILL.md roster + keyword + dispatch edits in the same change set, unless discovery showed a supported file-level override / registration path that covers dispatch without a full parent fork.
  5. Placement: use the shipping family discovery selected (upstream, file-level override, or whole-skill fork) — not a silent drop under the target app's .agents/skills/ unless discovery says that works.

Sub-agent deliverable checklist (fixed roster):

  • sub-agents/<name>.md matches sibling conventions
  • Dispatch path verified from current parent skill + platform docs (roster edit, file-level override, or other discovered mechanism)
  • No new <name>/SKILL.md wrapper directory was created
  • Harness / pin matches the chosen shipping family
Augmentation skill branch (when user asked for a skill, not a sub-agent)

Use this branch for output-format constraints, domain rules, and capabilities that load alongside defaults — not for new pr-review dimensions (those are sub-agents).

File to create: <target>/skills/<unique-name>/SKILL.md (or repo .agents/skills/<unique-name>/SKILL.md)

Skills — required patterns

Declare field ownership

markdown
## What this skill controls
- <field>: <aspects>

## What this skill does NOT control
- <fields owned by discovered defaults>

Hard limits, not soft preferences

WeakStrong
Prefer shorter commentsLimit <field> to N words maximum
Try to avoid fillerNever start with "Thanks" / "I've reviewed"
Consider bulletsUse bullets, not paragraphs

Templates + before/after for the exact field you own.

Fail checks the model can self-apply before finishing.

Acknowledge defaults by name (use the names you discovered):

markdown
`<discovered-skill>` owns <X>.
This skill owns <field> <aspect> only.
Sub-agents — patterns (reference only when on sub-agent branch above)

The sub-agent branch in step 4 is authoritative. This list is a summary:

  • Unique name in frontmatter; no clash with ls sub-agents/
  • Explicit Own / Do not own (copy the style of a sibling)
  • Stay inside the parent orchestrator's expected output contract (read how the parent parses sub-agent results)
  • Fixed roster: parent SKILL.md edits in the same change set — never a standalone sub-agent file alone
5. Review the draft

Artifact check (always):

  • Deliverable matches step 2b (sub-agent .md vs skill SKILL.md vs fork)
  • No wrapper SKILL.md when user asked for sub-agent

All artifacts:

  • Discovered, not memorized — harness/schema/skill/sub-agent reads are from current agents / fullsend checkouts
  • Unique name — no collision with ls skills / ls sub-agents
  • Field or dimension ownership declared
  • Human surface named (from post-script / schema)
  • Hard language only
  • Defaults acknowledged by discovered names
  • Templates + fail checks for format changes
  • No procedure overlap with built-in skills
  • Fits agent definition + schema
  • Sub-agent dispatch path verified (parent will actually run it)
6. Recommend placement (then write only in the named target)

Ask which row applies before creating directories. Do not assume the current project is the shipping repo.

SetupWhere it livesHow it loads (verify in current docs)
Per-repo augmentation skillTarget app .agents/skills/<name>/SKILL.mdAuto-discovered for agents on that repo
Org-wide skillOrg skills repo skills/<name>/.fullsend harness skills: URL + pin
Sub-agent / intra-skill filePath discovery recommends (upstream tree, file-level override target, or whole-skill fork)Whatever customizing-with-skills.md + harness schema currently describe

Repo skill — one-repo domain rules.

Org harness skill — org-wide unique skill name + harness pin + #sha256=.

Sub-agent / fixed roster — re-run the shipping-family discovery in step 1b; prefer the lightest supported path. Do not assume whole-skill fork is required forever.

Primary docs to re-read every run:

fullsend → docs/guides/user/customizing-with-skills.md

Augment vs. override decision

  1. After discovery, does a default skill, sub-agent, or agent def already cover this?
    • No → New augmentation / new capability. Low conflict risk.
    • Yes → Continue.
  2. Can you constrain or reformat output without changing roster or procedure?
    • Yes → Augment: unique skill name + field ownership + hard limits. Append via harness skills: + pin.
    • No → Continue.
  3. Must a sub-agent or orchestrator file change?
    • Benefits everyone → Upstream to fullsend-ai/agents.
    • Org/repo-only → Use the lightest shipping family discovery found (file-level override when available; whole-skill fork only if that is still the only supported path).
  4. Never suggest overlay directories under customized/ — use harness mechanisms documented in the current checkout.

Common mistakes

MistakeFix
Soft language ("prefer concise")Hard limits ("N words maximum")
Hardcoding today's skill list into your notes as eternal truthRe-run discovery against agents / fullsend
Looking in fullsend root skills/ for agent skillsUse fullsend-ai/agents harness/ + skills/
Shortening backlog/detail fields to make comments "feel" shortChange only the human-facing field from the post-script
Adding a sub-agent file the parent never dispatchesRead parent roster/selection; update parent or upstream it
User asked for sub-agent; you created <name>/SKILL.mdUse sub-agents/<name>.md + parent roster edits; no wrapper skill
Redefining default proceduresConstrain outputs; don't replace steps
Same directory name as a built-inRename to extend, or override through base: harness composition; Fullsend warns that the repo skill is shadowed
Suggesting customized/ or overlay dirs for overridesUse harness mechanisms from current docs (file-level when available)
Hardcoding "org fork" as the only sub-agent pathRe-discover shipping families each run
Writing into discovery or test cwdAsk target repo; draft in chat until user names path
Ignoring agent definition + schemaRead both every time
Hand-waved integrity hashes on harness pinsCompute tree hash with platform tooling
Overriding when augmenting would workPrefer augmentation to keep upstream improvements

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

Files

Just SKILL.md in skills/author-fullsend-augmentations of fullsend-ai/fullsend.

Open the folder on GitHubat commit 87bf615

Compare with similar skills

Author Fullsend Augmentations 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.

Author Fullsend Augmentations compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Author Fullsend Augmentations this skillfullsend-ai/fullsend147—~5.8kAutomated safety check: PassApache-2.0
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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    Find open GitHub pull requests that add or change Architecture Decision Records and report attribution, summaries, discussion points, and dates.

    147 GitHub stars~654 tokensUpdated today
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    fullsend-ai/fullsend

    Build a readiness-oriented queue of open issues/PRs — assigned work plus their open GitHub blockers — and recommend the next action for each.

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    fullsend-ai/fullsend

    Analyze fullsend agent run transcripts from GitHub Actions artifacts.

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Categories

Questions about Author Fullsend Augmentations

What does Author Fullsend Augmentations do?

Guide for writing fullsend augmentation skills and sub-agents that work alongside shipped defaults. Author Fullsend Augmentations is an agent skill from fullsend-ai/fullsend. Guide for writing fullsend augmentation skills and sub-agents that work alongside shipped defaults.

When should I use Author Fullsend Augmentations?

Author Fullsend Augmentations fits situations like: tasks that involve Subagents.

How do I install Author Fullsend Augmentations in Claude Code?

Run `npx skills add fullsend-ai/fullsend --skill author-fullsend-augmentations -a claude-code`. Or copy the skill folder (skills/author-fullsend-augmentations in fullsend-ai/fullsend) into .claude/skills/author-fullsend-augmentations in your project. Claude Code loads it when a task matches its description.

How do I install Author Fullsend Augmentations in Codex?

Run `npx skills add fullsend-ai/fullsend --skill author-fullsend-augmentations -a codex`. Or copy the skill folder (skills/author-fullsend-augmentations in fullsend-ai/fullsend) into .agents/skills/author-fullsend-augmentations in your project. Codex loads it when a task matches its description.

Can I use Author Fullsend Augmentations 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 fullsend-ai/fullsend --skill author-fullsend-augmentations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/author-fullsend-augmentations, .gemini/skills/author-fullsend-augmentations, .github/skills/author-fullsend-augmentations and .opencode/skills/author-fullsend-augmentations in your project.

What does Author Fullsend Augmentations need to run?

Going by SKILL.md and its folder, Author Fullsend Augmentations needs the command-line tools its instructions call (rg, gh and git).

Does Author Fullsend Augmentations access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Author Fullsend Augmentations safe to install?

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

What licence does Author Fullsend Augmentations use?

Author Fullsend Augmentations is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Author Fullsend Augmentations use?

About 5.8k tokens (SKILL.md is roughly 23k 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 Author Fullsend Augmentations?

Skills that share tags, products or a category with Author Fullsend Augmentations: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Author Fullsend Augmentations?

fullsend-ai (a GitHub organization) maintains it in fullsend-ai/fullsend, which has 147 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 8, 2026.

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